{ "created": "2024-03-06 17:02:30", "updated": "2026-05-06 06:27:48", "id": "c1520c2c-82af-426e-ad91-00667796863b", "version": 9, "ds_topic": null, "title_cn": "中国西部塔里木盆地压力数据集", "title_en": "Pressure dataset for the Tarim Basin, Western China", "ds_abstract": "

  模型训练过程中通过对坍塌压力、漏失压力、孔隙压力、实际钻井液密度等特征进行建模，实现对井漏风险的预测。\n

  数据字段示意如下：\n

  depth：井深(m)；\n

  Collapse pressure：坍塌压力(Mpa)；\n

  Leakage pressure：漏失压力(Mpa)；\n

  Pore pressure：孔隙压力(Mpa)；\n

  Density: 实际钻井液密度(g/cc)。", "ds_source": "

  中国西部塔里木盆地的测井数据集，包含25种地质特征共计6800条样本数据。", "ds_process_way": "

  采用中国西部塔里木油田的坍塌压力、漏失压力、孔隙压力、实际钻井液密度等数据进行机器学习建模。", "ds_quality": "

  数据质量良好。", "ds_acq_start_time": "2014-01-01 00:00:00", "ds_acq_end_time": "2014-12-31 00:00:00", "ds_acq_place": "塔里木盆地地区", "ds_acq_lon_east": 90.0, "ds_acq_lat_south": 37.0, "ds_acq_lon_west": 75.0, "ds_acq_lat_north": 42.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 2249554, "ds_files_count": 2, "ds_format": "excel", "ds_space_res": "1m", "ds_time_res": "", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "c1520c2c-82af-426e-ad91-00667796863b.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "fdaf40e0-8913-40fa-927b-8786c3af0bf5", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.50" ], "quality_level": 3, "publish_time": "2024-03-28 09:26:45", "last_updated": "2025-06-30 11:30:26", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.XDA14.DB6397.2024", "i18n": { "en": { "title": "Pressure dataset for the Tarim Basin, Western China", "ds_format": "excel", "ds_source": "

  The logging dataset from the Tarim Basin in western China contains a total of 6,800 sample data for 25 geologic features.", "ds_quality": "

  Data quality is good.", "ds_ref_way": "", "ds_abstract": "

  The model training process achieves prediction of well leakage risk by modeling features such as collapse pressure, leakage pressure, pore pressure, and actual drilling fluid density.\n

  The data fields are schematized as follows:\n

  depth: well depth (m);\n

  Collapse pressure: Collapse pressure (Mpa);\n

  Leakage pressure: Leakage pressure (Mpa);\n

  Pore pressure: pore pressure (Mpa);\n

  Density: Actual drilling fluid density (g/cc).

", "ds_time_res": "", "ds_acq_place": "Tarim Basin", "ds_space_res": "1m", "ds_projection": "", "ds_process_way": "

  Machine Learning Modeling Using Collapse Pressure, Leakage Pressure, Pore Pressure, and Actual Drilling Fluid Density Data from the Tarim Oilfield in Western China.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "井漏", "塔里木", "地质特征" ], "ds_subject_tags": [ "地质学" ], "ds_class_tags": [], "ds_locus_tags": [ "塔里木盆地地区" ], "ds_time_tags": [ 2014, 2015 ], "ds_contributors": [ { "true_name": "陈冬", "email": "dong.chen@cup.edu.cn", "work_for": "中国石油大学（北京）石油工程学院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "陈冬", "email": "dong.chen@cup.edu.cn", "work_for": "中国石油大学（北京）石油工程学院", "country": "中国" } ], "ds_managers": [ { "true_name": "陈冬", "email": "dong.chen@cup.edu.cn", "work_for": "中国石油大学（北京）石油工程学院", "country": "中国" } ], "category": "其他" }