├── README.md ├── SPWLA_2023_ML_Tutorial.ipynb ├── Solutions ├── ARC_CNLC │ ├── AAA01_S4_AlignTest1.m │ ├── AAA01_S4_AlignTest2.m │ ├── AAA01_S4_AlignTest3.m │ ├── DTW_newobj_v1.m │ ├── DTW_newobj_v1_sametype.m │ ├── Get_RotationBack_Coordinates.m │ ├── README.md │ ├── Step01_LoadPreprocessing.mat │ ├── backup_sub_TEST_objFun.m │ ├── dtw_corr0516_dual.m │ ├── dtw_corr0516_max.m │ ├── dtw_corr0519_peaks_bak.m │ ├── dtw_dist.m │ ├── dtw_simi.m │ ├── sub_DatMat.m │ ├── sub_FindB0_ObjFun_FrontPart_Search.m │ ├── sub_FindB0_ObjFun_FrontPart_retune.m │ ├── sub_FindB0_ObjFun_LaterPart_Search.m │ ├── sub_FindB0_ObjFun_LaterPart_retune.m │ ├── sub_Find_L1_peakpairs_DW.m │ ├── sub_Find_L1_peakpairs_UP.m │ ├── sub_ObjFun_FrontPart_retune_GR_NPHI.m │ ├── sub_ObjFun_FrontPart_retune_GR_RD.m │ ├── sub_ObjFun_LaterPart_retune_GR_NPHI.m │ ├── sub_ObjFun_LaterPart_retune_GR_RD.m │ ├── sub_Search_objFun.m │ ├── sub_Search_objFun_segments.m │ ├── sub_Step01_FindA0B0.m │ ├── sub_TEST_objFun_old.m │ ├── sub_allignB2A.m │ ├── sub_allignB2A_all.m │ ├── sub_calculate_d.m │ ├── sub_chopHeadTail.m │ ├── sub_determine_ProcBlocks.m │ ├── sub_hierarchy_Peaks.m │ ├── sub_hierarchy_Peaks_0516.m │ ├── sub_mergeCOpoints.m │ ├── sub_objFun_GR_RD_detail.m │ ├── sub_read_the_Train_Data.m │ ├── sub_rmsAMP.m │ ├── sub_warpLogsTest.m │ ├── sxk_DTW_newobj_Shift.m │ ├── sxk_DTW_newobj_Shift_iter.m │ ├── sxk_DTW_newobj_Shift_iter_dist.m │ ├── sxk_DTW_newobj_Shift_pos.m │ ├── sxk_DTWroute_enhance.m │ ├── sxk_DispCheck_PairPairs.m │ ├── sxk_Effective_Logs_Picks.m │ ├── sxk_PopUp_PickPairs_V2.m │ ├── sxk_PopUp_PickPairs_V2_all.m │ ├── sxk_PopUp_PickPairs_V2_detail.m │ ├── sxk_PopUp_PickPairs_V2_trend.m │ ├── sxk_PopUp_PickPairs_V3_OBJ.m │ ├── sxk_PopUp_PickPairs_V3_OBJ_NPHI.m │ ├── sxk_PopUp_PickPairs_V3_OBJ_RD.m │ ├── sxk_PopUp_PickPairs_V3_OBJ_RHOB.m │ ├── sxk_RefineCorrection_GR_NPHI.m │ ├── sxk_RefineCorrection_GR_NPHI1.m │ ├── sxk_RefineCorrection_GR_NPHI_head.m │ ├── sxk_RefineCorrection_GR_NPHI_tail.m │ ├── sxk_RefineCorrection_GR_RD.m │ ├── sxk_RefineCorrection_GR_RD_head.m │ ├── sxk_RefineCorrection_GR_RD_tail.m │ ├── sxk_RefineCorrection_NPHI_RHOB.m │ ├── sxk_RefineCorrection_NPHI_RHOB_head.m │ ├── sxk_RefineCorrection_NPHI_RHOB_tail.m │ ├── sxk_RouteNodes.m │ ├── sxk_ShiftLogs.m │ ├── sxk_additional_DTW.m │ ├── sxk_combo_PickPairs_Correction.m │ ├── sxk_combo_PickPairs_Correction_NPHI.m │ ├── sxk_combo_PickPairs_Correction_RD.m │ ├── sxk_combo_PickPairs_Correction_RHOB.m │ ├── sxk_combo_Shift_Stretch.m │ ├── sxk_effDTWpairs.m │ ├── sxk_getAnchorPoint_row.m │ ├── sxk_get_hidx.m │ ├── sxk_nearestfilling.m │ ├── sxk_nearestfilling_depth.m │ ├── sxk_pw_Alignment_FreeStyle.m │ ├── sxk_pw_Alignment_FreeStyle_v2.m │ ├── sxk_pw_Alignment_depthpred.m │ ├── test1-add.csv │ ├── test2-add.csv │ └── test3-add.csv ├── All for a dream.ipynb ├── IGPL │ ├── 000.data_concat.py │ ├── 001_data_prepare.py │ ├── 002_value_model_train.py │ ├── 003_value_model_evaluate.py │ ├── 004_model_application_dtw.py │ └── README.md ├── README.md └── WELL-LOGGED_SPWLA_2023_ML.ipynb ├── data ├── pdda_submission_1.zip ├── test │ ├── README.md │ ├── aligned_well_01.csv │ ├── aligned_well_02.csv │ └── aligned_well_03.csv └── train │ ├── aligned_well_01.csv │ ├── aligned_well_02.csv │ ├── aligned_well_03.csv │ ├── aligned_well_04.csv │ ├── aligned_well_05.csv │ ├── aligned_well_06.csv │ ├── aligned_well_07.csv │ ├── aligned_well_08.csv │ └── aligned_well_09.csv ├── image └── pdda.png └── pdda_submission_1.zip /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/README.md -------------------------------------------------------------------------------- /SPWLA_2023_ML_Tutorial.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/SPWLA_2023_ML_Tutorial.ipynb -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/AAA01_S4_AlignTest1.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/AAA01_S4_AlignTest1.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/AAA01_S4_AlignTest2.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/AAA01_S4_AlignTest2.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/AAA01_S4_AlignTest3.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/AAA01_S4_AlignTest3.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/DTW_newobj_v1.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/DTW_newobj_v1.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/DTW_newobj_v1_sametype.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/DTW_newobj_v1_sametype.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/Get_RotationBack_Coordinates.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/Get_RotationBack_Coordinates.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/README.md: -------------------------------------------------------------------------------- 1 | Solutions submitted by ARC_CNLC 2 | -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/Step01_LoadPreprocessing.mat: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/Step01_LoadPreprocessing.mat -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/backup_sub_TEST_objFun.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/backup_sub_TEST_objFun.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/dtw_corr0516_dual.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/dtw_corr0516_dual.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/dtw_corr0516_max.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/dtw_corr0516_max.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/dtw_corr0519_peaks_bak.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/dtw_corr0519_peaks_bak.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/dtw_dist.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/dtw_dist.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/dtw_simi.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/dtw_simi.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sub_DatMat.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sub_DatMat.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sub_FindB0_ObjFun_FrontPart_Search.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sub_FindB0_ObjFun_FrontPart_Search.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sub_FindB0_ObjFun_FrontPart_retune.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sub_FindB0_ObjFun_FrontPart_retune.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sub_FindB0_ObjFun_LaterPart_Search.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sub_FindB0_ObjFun_LaterPart_Search.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sub_FindB0_ObjFun_LaterPart_retune.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sub_FindB0_ObjFun_LaterPart_retune.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sub_Find_L1_peakpairs_DW.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sub_Find_L1_peakpairs_DW.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sub_Find_L1_peakpairs_UP.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sub_Find_L1_peakpairs_UP.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sub_ObjFun_FrontPart_retune_GR_NPHI.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sub_ObjFun_FrontPart_retune_GR_NPHI.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sub_ObjFun_FrontPart_retune_GR_RD.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sub_ObjFun_FrontPart_retune_GR_RD.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sub_ObjFun_LaterPart_retune_GR_NPHI.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sub_ObjFun_LaterPart_retune_GR_NPHI.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sub_ObjFun_LaterPart_retune_GR_RD.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sub_ObjFun_LaterPart_retune_GR_RD.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sub_Search_objFun.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sub_Search_objFun.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sub_Search_objFun_segments.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sub_Search_objFun_segments.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sub_Step01_FindA0B0.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sub_Step01_FindA0B0.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sub_TEST_objFun_old.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sub_TEST_objFun_old.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sub_allignB2A.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sub_allignB2A.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sub_allignB2A_all.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sub_allignB2A_all.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sub_calculate_d.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sub_calculate_d.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sub_chopHeadTail.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sub_chopHeadTail.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sub_determine_ProcBlocks.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sub_determine_ProcBlocks.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sub_hierarchy_Peaks.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sub_hierarchy_Peaks.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sub_hierarchy_Peaks_0516.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sub_hierarchy_Peaks_0516.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sub_mergeCOpoints.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sub_mergeCOpoints.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sub_objFun_GR_RD_detail.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sub_objFun_GR_RD_detail.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sub_read_the_Train_Data.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sub_read_the_Train_Data.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sub_rmsAMP.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sub_rmsAMP.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sub_warpLogsTest.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sub_warpLogsTest.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_DTW_newobj_Shift.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_DTW_newobj_Shift.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_DTW_newobj_Shift_iter.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_DTW_newobj_Shift_iter.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_DTW_newobj_Shift_iter_dist.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_DTW_newobj_Shift_iter_dist.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_DTW_newobj_Shift_pos.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_DTW_newobj_Shift_pos.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_DTWroute_enhance.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_DTWroute_enhance.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_DispCheck_PairPairs.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_DispCheck_PairPairs.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_Effective_Logs_Picks.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_Effective_Logs_Picks.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_PopUp_PickPairs_V2.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_PopUp_PickPairs_V2.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_PopUp_PickPairs_V2_all.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_PopUp_PickPairs_V2_all.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_PopUp_PickPairs_V2_detail.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_PopUp_PickPairs_V2_detail.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_PopUp_PickPairs_V2_trend.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_PopUp_PickPairs_V2_trend.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_PopUp_PickPairs_V3_OBJ.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_PopUp_PickPairs_V3_OBJ.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_PopUp_PickPairs_V3_OBJ_NPHI.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_PopUp_PickPairs_V3_OBJ_NPHI.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_PopUp_PickPairs_V3_OBJ_RD.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_PopUp_PickPairs_V3_OBJ_RD.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_PopUp_PickPairs_V3_OBJ_RHOB.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_PopUp_PickPairs_V3_OBJ_RHOB.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_RefineCorrection_GR_NPHI.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_RefineCorrection_GR_NPHI.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_RefineCorrection_GR_NPHI1.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_RefineCorrection_GR_NPHI1.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_RefineCorrection_GR_NPHI_head.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_RefineCorrection_GR_NPHI_head.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_RefineCorrection_GR_NPHI_tail.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_RefineCorrection_GR_NPHI_tail.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_RefineCorrection_GR_RD.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_RefineCorrection_GR_RD.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_RefineCorrection_GR_RD_head.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_RefineCorrection_GR_RD_head.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_RefineCorrection_GR_RD_tail.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_RefineCorrection_GR_RD_tail.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_RefineCorrection_NPHI_RHOB.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_RefineCorrection_NPHI_RHOB.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_RefineCorrection_NPHI_RHOB_head.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_RefineCorrection_NPHI_RHOB_head.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_RefineCorrection_NPHI_RHOB_tail.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_RefineCorrection_NPHI_RHOB_tail.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_RouteNodes.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_RouteNodes.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_ShiftLogs.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_ShiftLogs.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_additional_DTW.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_additional_DTW.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_combo_PickPairs_Correction.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_combo_PickPairs_Correction.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_combo_PickPairs_Correction_NPHI.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_combo_PickPairs_Correction_NPHI.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_combo_PickPairs_Correction_RD.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_combo_PickPairs_Correction_RD.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_combo_PickPairs_Correction_RHOB.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_combo_PickPairs_Correction_RHOB.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_combo_Shift_Stretch.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_combo_Shift_Stretch.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_effDTWpairs.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_effDTWpairs.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_getAnchorPoint_row.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_getAnchorPoint_row.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_get_hidx.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_get_hidx.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_nearestfilling.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_nearestfilling.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_nearestfilling_depth.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_nearestfilling_depth.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_pw_Alignment_FreeStyle.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_pw_Alignment_FreeStyle.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_pw_Alignment_FreeStyle_v2.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_pw_Alignment_FreeStyle_v2.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/sxk_pw_Alignment_depthpred.m: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/sxk_pw_Alignment_depthpred.m -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/test1-add.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/test1-add.csv -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/test2-add.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/test2-add.csv -------------------------------------------------------------------------------- /Solutions/ARC_CNLC/test3-add.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/ARC_CNLC/test3-add.csv -------------------------------------------------------------------------------- /Solutions/All for a dream.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/All for a dream.ipynb -------------------------------------------------------------------------------- /Solutions/IGPL/000.data_concat.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/IGPL/000.data_concat.py -------------------------------------------------------------------------------- /Solutions/IGPL/001_data_prepare.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/IGPL/001_data_prepare.py -------------------------------------------------------------------------------- /Solutions/IGPL/002_value_model_train.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/IGPL/002_value_model_train.py -------------------------------------------------------------------------------- /Solutions/IGPL/003_value_model_evaluate.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/IGPL/003_value_model_evaluate.py -------------------------------------------------------------------------------- /Solutions/IGPL/004_model_application_dtw.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/IGPL/004_model_application_dtw.py -------------------------------------------------------------------------------- /Solutions/IGPL/README.md: -------------------------------------------------------------------------------- 1 | These are submissions from IGPL 2 | -------------------------------------------------------------------------------- /Solutions/README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/README.md -------------------------------------------------------------------------------- /Solutions/WELL-LOGGED_SPWLA_2023_ML.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/Solutions/WELL-LOGGED_SPWLA_2023_ML.ipynb -------------------------------------------------------------------------------- /data/pdda_submission_1.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/data/pdda_submission_1.zip -------------------------------------------------------------------------------- /data/test/README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/data/test/README.md -------------------------------------------------------------------------------- /data/test/aligned_well_01.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/data/test/aligned_well_01.csv -------------------------------------------------------------------------------- /data/test/aligned_well_02.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/data/test/aligned_well_02.csv -------------------------------------------------------------------------------- /data/test/aligned_well_03.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/data/test/aligned_well_03.csv -------------------------------------------------------------------------------- /data/train/aligned_well_01.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/data/train/aligned_well_01.csv -------------------------------------------------------------------------------- /data/train/aligned_well_02.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/data/train/aligned_well_02.csv -------------------------------------------------------------------------------- /data/train/aligned_well_03.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/data/train/aligned_well_03.csv -------------------------------------------------------------------------------- /data/train/aligned_well_04.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/data/train/aligned_well_04.csv -------------------------------------------------------------------------------- /data/train/aligned_well_05.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/data/train/aligned_well_05.csv -------------------------------------------------------------------------------- /data/train/aligned_well_06.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/data/train/aligned_well_06.csv -------------------------------------------------------------------------------- /data/train/aligned_well_07.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/data/train/aligned_well_07.csv -------------------------------------------------------------------------------- /data/train/aligned_well_08.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/data/train/aligned_well_08.csv -------------------------------------------------------------------------------- /data/train/aligned_well_09.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/data/train/aligned_well_09.csv -------------------------------------------------------------------------------- /image/pdda.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/image/pdda.png -------------------------------------------------------------------------------- /pdda_submission_1.zip: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pddasig/Machine-Learning-Competition-2023/HEAD/pdda_submission_1.zip --------------------------------------------------------------------------------