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针对海上油田中油基泥浆滤液侵入导致的储层核磁共振(Nuclear Magnetic Resonance, NMR)测井横向弛豫时间(Transverse Relaxation Time,T2)谱“拖尾”现象，提出了一种基于储层物性约束的T2谱分段校正方法，并研发了可挂接于CIFLog测井综合解释平台的插件模块。该方法以渗透率为校正判别阈值，按孔隙度分段构建多级物性区间，结合流体类型特征建立校正系数数据库，并在算法中引入积分面积守恒约束，确保校正前后T2谱总面积一致，从物理层面保持孔隙度的真实性。模块采用插件化设计，实现了数据自动匹配、系数管理、计算可视化及结果输出等功能。南海北部湾盆地两口油基泥浆井的应用结果表明，校正后T2谱“拖尾”现象得到明显抑制，长弛豫时间端幅值较原始T2谱平均降低6.86%～10.61%,谱形与储层物性特征更加一致，测井解释结果与常规曲线及岩心资料匹配良好，验证了所建方法的稳定性与工程适用性。研究成果为复杂钻井条件下的核磁测井定量解释提供了可靠的技术支撑。
Abstract：In response to the “tailing” effect observed in nuclear magnetic resonance(NMR) logging Transverse relaxation time(T2) spectrum caused by the invasion of oil-based mud filtrate, a segmented T2 spectrum correction method, constrained by reservoir physical properties is proposed, and a practical plug-in module compatible with the CIFLog integrated well-logging interpretation platform is developed. The method defines permeability as the correction threshold, constructs multi-level petrophysical intervals through porosity-based segmentation, and establishes a correction-coefficient database by incorporating fluid-type characteristics. An integral-area conservation constraint is incorporated into the algorithm to ensure the consistency of the total T2 spectral area before and after correction, thereby preserving porosity fidelity from a physical perspective. The module adopts a plug-in and modular architecture that enables automatic data matching, coefficient management, calculation visualization, and result output. The application results from two oil-based mud wells in the Beibu Gulf Basin of the South China Sea show that the “tailing” phenomenon of the corrected T2 spectra is significantly suppressed, and the amplitude at the long relaxation time end is reduced by an average of 6.86%～10.61% compared with the original spectra. The corrected spectra show improved consistency with reservoir properties, and the logging interpretation results exhibit good agreement with conventional logs and core data, confirming the stability and engineering practicality of the proposed approach. The developed method provides reliable technical support for quantitative NMR logging interpretation under complex drilling conditions.
[1] Wang J J,Lu S F,Zhang P F,et al.Characterization of shale oil and water micro-occurrence based on a novel method for fluid identification by NMR T2 spectrum[J].Fuel,2024,374:132426.
[2] 李海燕，屈翠侠，刘斌，等.优势渗流层段测井评价及应用[J].工程地球物理学报，2024,21(5):855-865.Li H Y,Qu C X,Liu B,et al.Logging identification and evaluation of dominant seepage intervals[J].Chinese Journal of Engineering Geophysics,2024,21(5):855-865.
[3] 赵吉儿，葛新民，肖玉峰，等.含裂缝页岩核磁共振横向弛豫响应正演模拟及T2谱特征分析[J].地球物理学报，2023,66(6):2 621-2 630.Zhao J E,Ge X M,Xiao Y F,et al.Forward simulation and characteristic analysis on the low field NMR transverse relaxation response of fractured shale reservoir[J].Chinese Journal of Geophysics,2023,66(6):2 621-2 630.
[4] 高明哲，邹长春，彭诚，等.页岩储层岩心核磁共振实验参数选取方法研究[J].工程地球物理学报，2016,13(3):263-270.Gao M Z,Zou C C,Peng C,et al.Study on selection method of core nuclear magnetic resonance experiment parameters for shale reservoir[J].Chinese Journal of Engineering Geophysics,2016,13(3):263-270.
[5] 毛锐，牟立伟，王刚，等.基于核磁共振自由弛豫特征的含油性评价方法——以玛湖凹陷下乌尔禾组砾岩储层为例[J].岩性油气藏，2021,33(5):140-147.Mao R,Mu L W,Wang G,et al.Oil-bearing evaluation method based on NMR free relaxation characteristics:A case study of conglomerate reservoirs of lower Urho Formation in Mahu Sag,Junggar Basin[J].Lithologic Reservoirs,2021,33(5):140-147.
[6] 蔺敬旗，胡鹦鸾，曹志锋，等.基于核磁共振实验的油基钻井液侵入分析[J].测井技术，2023,47(3):284-290.Lin J Q,Hu Y L,Cao Z F,et al.Invasion analysis of oil-based drilling fluid based on NMR experiment[J].Well Logging Technology,2023,47(3):284-290.
[7] 李静，胡婷婷，张洁，等.核磁共振测井法识别油基泥浆致密砂砾岩储层流体性质[J/OL].核电子学与探测技术，2025:1-7.(2025-10-13).https://link.cnki.net/doi/10.20173/j.cnki.ned.20251011.002.Li J,Hu T T,Zhang J,et al.Identifying pore fluids using nuclear magnetic resonance(NMR) logging in conglomerate reservoirs during oil-based mud(OBM) drilling[J/OL].Nuclear Electronics & Detection Technology,2025:1-7.(2025-10-13).https://link.cnki.net/doi/10.20173/j.cnki.ned.20251011.002.
[8] 罗洋，刘岩，王亮，等.油基与水基泥浆环境下白云岩储层测井响应差异性研究——以川中古隆起灯影组为例[J].地球物理学进展，2024,39(2):737-748.Luo Y,Liu Y,Wang L,et al.Study on the differences in logging responses of dolomite reservoirs in oil-based and water-based mud environments:A case study of the Dengying Formation in the central Sichuan paleo-uplift[J].Progress in Geophysics,2024,39(2):737-748.
[9] 张浩，倪利平，罗刚，等.油基钻井液侵入对核磁共振测井响应影响的实验研究[J].科学技术与工程，2023,23(12):5 013-5 021.Zhang H,Ni L P,Luo G,et al.Experimental study on the effect of oil-based drilling fluid invasion on NMR logging[J].Science Technology and Engineering,2023,23(12):5 013-5 021.
[10] Kesserwan H,Al Tawat N,Jin G D.Use of NMR and core flow to study the solid invasion in sedimentary rocks-insights on drilling mud design[C]//SPE Kingdom of Saudi Arabia Annual Technical Symposium and Exhibition.Dammam,Saudi Arabia.Richardson:Society of Petroleum Engineers,2018:SPE 192308-MS.
[11] 肖亮，毛志强，邹长春，等.一种含烃储集层核磁共振测井T2谱形态校正方法：CN106351652B[P].2019-03-29.Xiao L,Mao Z Q,Zou C C,et al.Shape correcting method for nuclear magnetic resonance logging T2 spectrum containing hydrocarbon reservoir layers:CN106351652B[P].2019-03-29.
[12] 蔡军，孙建孟，冯平，等.油基钻井液环境下核磁共振测井T2谱形态校正方法：CN113027421B[P].2024-04-02.Cai J,Sun J M,Feng P,et al.Method for correction of T2 spectrum morphology in nuclear magnetic resonance logging under oil-based drilling fluid environment[P].Chinese patent:202110480440.12024-04-02.
[13] Sun J M,Cai J,Feng P,et al.Study on nuclear magnetic resonance logging T2 spectrum shape correction of sandstone reservoirs in oil-based mud wells[J].Molecules,2021,26(19):6082.
[14] Valle B,Dal’ Bó P F,Santos J,et al.A new method to improve the NMR log interpretation in drilling mud-invaded zones:A case study from the Brazilian Pre-salt[J].Journal of Petroleum Science and Engineering,2021,203:108692.
[15] 李晓东，孙建孟，冯平，等.XX气田油基钻井液测录井影响校正研究[J].测井技术，2022,46(2):202-209.Li X D,Sun J M,Feng P,et al.Study on the influence correction of well logging and gas logging of oil-based mud wells in XX gas field[J].Well Logging Technology,2022,46(2):202-209.
[16] 陈国军，张啸，高明，等.超深油气井核磁共振测井影响分析及谱形态校正[J].测井技术，2023,47(4):457-461.Chen G J,Zhang X,Gao M,et al.Influence analysis and spectral shape correction of nuclear magnetic logging in ultra-deep oil and gas wells[J].Well Logging Technology,2023,47(4):457-461.
[17] 黄易聪，秦臻，张雪，等.油基泥浆侵入含油储层核磁T2谱快速校正方法研究——以南海西部某含油储层为例[J].江西科学，2025,43(2):243-252.Huang Y C,Qin Z,Zhang X,et al.The study on the rapid correction method for nuclear magnetic resonance T2 spectra of oil-based mud invasion in oil-bearing reservoir:A case study of an oil-bearing reservoir in the western south[J].Jiangxi Science,2025,43(2):243-252.
[18] 赵中会.含油基泥浆滤失液的核磁共振测井测定气油比和活油粘度[J].石化技术，2025,32(7):234-235+238.Zhao Z H.Determination of gas oil ratio and active oil viscosity by nuclear magnetic resonance logging of oil containing mud filtrate[J].Petrochemical Industry Technology,2025,32(7):234-235+238.
[19] 张子为，赵雅庆，黄文科，等.核磁共振测井对致密砂岩储层进行有效性表征及分级预测[J].核电子学与探测技术，2024,44(3):573-579.Zhang Z W,Zhao Y Q,Huang W K,et al.Using nuclear magnetic resonance(NMR) logging to characterize tight sandstone reservoirs validity and predict formation types[J].Nuclear Electronics & Detection Technology,2024,44(3):573-579.
[20] 刘欢，徐锦绣，郑炀，等.渤海J油田储层核磁共振测井孔隙度影响因素分析及校正[J].波谱学杂志，2020,37(3):370-380.Liu H,Xu J X,Zheng Y,et al.Factors affecting and correction methods for porosity measured by NMR logging in the J oilfield of Bohai Bay[J].Chinese Journal of Magnetic Resonance,2020,37(3):370-380.
[21] 白松涛，程道解，万金彬，等.砂岩岩石核磁共振T2谱定量表征[J].石油学报，2016,37(3):382-391+414.Bai S T,Cheng D J,Wan J B,et al.Quantitative characterization of sandstone NMR T2 spectrum[J].Acta Petrolei Sinica,2016,37(3):382-391+414.
[22] Chen J L,Huang Z L,Yao G S,et al.Gas-water characteristics of tight sandstone in Xihu Sag,East China Sea Basin under different charging models[J].Processes,2023,11(5):1310.
[23] Fan Y R,Wu J C,Wu F,et al.A new physical simulation system of drilling mud invasion in formation module[J].Petroleum Exploration and Development,2017,44(1):127-131.
[24] 慕倩，李高仁，张文静，等.基于核磁共振测井的致密砂岩储集层有效性评价[J].新疆石油地质，2025,46(1):121-126.Mu Q,Li G R,Zhang W J,et al.Effectiveness evaluation of tight sandstone reservoirs based on NMR logging[J].Xinjiang Petroleum Geology,2025,46(1):121-126.
[25] 乔科宇，邹长春，彭诚.基于CIFLog软件的测井旋回地层学分析模块开发与应用[J].吉林大学学报(地球科学版),2025,55(2):686-696.Qiao K Y,Zou C C,Peng C.Development and application of well log cyclostratigraphy analysis module bases on CIFLog software[J].Journal of Jilin University (Earth Science Edition),2025,55(2):686-696.
[26] 刘志锋，张寰宇，丁成龙，等.基于CIFLog的铀裂变瞬发中子测井解释模块设计与研发[J].铀矿地质，2023,39(5):824-830.Liu Z F,Zhang H Y,Ding C L,et al.CIFLog based design and development of interpretation module of uranium fission prompt neutron logging[J].Uranium Geology,2023,39(5):824-830.
[27] Ge X M,Xue Z A,Zhou J,et al.An unsupervised clustering method for nuclear magnetic resonance transverse relaxation spectrums based on the Gaussian mixture model and its application[J].Petroleum Exploration and Development,2022,49(2):339-348.
基本信息:
中图分类号:P618.13;P631.81;TE52
引用信息:
[1]张昕熠,秦臻,苏可嘉,等.基于物性约束的储层油基泥浆侵入核磁共振T_2谱分段校正实现与应用[J].工程地球物理学报,2026,23(01):112-121.
基金信息:
国家自然科学基金(编号:42364009,41804097); 江西省自然科学基金面上项目(编号:20224BAB203044); 煤炭精细勘探与智能开发全国重点实验室2024年开放基金课题(编号:SKLCRSM24KFA04); 江西省大学生创新创业训练计划项目(编号:S202410405021); 教育部产学合作协同育人项目(编号:230804213220658);教育部就业育人项目(编号:2023122674433); 东华理工大学教育教学改革研究课题(编号:DHJG-24-14);东华理工大学实践教学类建设项目(编号:DHSY-202503)