Lithologic Reservoirs ›› 2024, Vol. 36 ›› Issue (6): 12-22.doi: 10.12108/yxyqc.20240602
• PETROLEUM EXPLORATION • Previous Articles Next Articles
ZHAO Jun1, LI Yong1, WEN Xiaofeng2, XU Wenyuan2, JIAO Shixiang1
CLC Number:
[1] 瞿建华,王泽胜,任本兵,等. 准噶尔盆地环玛湖斜坡区异常高压成因机理分析及压力预测方法[J]. 岩性油气藏,2014, 26(5):36-39. QU Jianhua,WANG Zesheng,REN Benbing,et al. Genetic mechanism analysis and prediction method of abnormal high pressure in Mahu slope area,Junggar Basin[J]. Lithologic Reservoirs,2014,26(5):36-39. [2] 肖玲,陈曦,雷宁,等. 鄂尔多斯盆地合水地区三叠系长7段页岩油储层特征及主控因素[J]. 岩性油气藏,2023,35(2): 80-93. XIAO Ling,CHEN Xi,LEI Ning,et al. Characteristics and main controlling factors of shale oil reservoirs of Triassic Chang 7 member in Heshui area,Ordos Basin[J]. Lithologic Reservoirs, 2023,35(2):80-93. [3] 杨韬政,刘成林,田继先,等. 柴达木盆地大风山凸起地层压力预测及成因分析[J].岩性油气藏,2023,35(1):96-107. YANG Taozheng,LIU Chenglin,TIAN Jixian,et al. Prediction and genesis of formation pressure in Dafengshan uplift,Qa idam Basin[J]. Lithologic Reservoirs,2023,35(1):96-107. [4] BRUCE B. An introduction to this special section:Pore pressure [J]. The Leading Edge,2002,21(2):169-177. [5] HOTTMANN C E,JOHNSON R K. Estimation of formation pressures from log-derived shale properties[J]. Journal of Pe troleum Technology,1965,17(6):717-722. [6] EATON B A. The effect of overburden stress on geopressure prediction from well logs[J]. Journal of Petroleum Technology, 1972,24(8):929-934. [7] 李玉凤,孙炜,何巍巍,等. 基于叠前反演的泥页岩地层压力预测方法[J]. 岩性油气藏,2019,31(1):113-121. LI Yufeng,SUN Wei,HE Weiwei,et al. Prediction method of shale formation pressure based on pre-stack inversion[J]. Lithologic Reservoirs,2019,31(1):113-121. [8] BOWERS G L. Pore pressure estimation from velocity data: Accounting for overpressure mechanisms besides under com paction[J]. SPE Drilling & Completion,1995,10(2):89-95. [9] 樊洪海. 利用声速检测欠压实泥岩异常高压的简易方法与应用[J]. 石油钻探技术,2001,29(5):9-11. FAN Honghai. A simple pore pressure estimation method for a disequilibrium compaction shale using sonic velocity[J]. Petro leum Drilling Techniques,2001,29(5):9-11. [10] 杨进. 地层压力BP网络预测方法研究及其应用[J]. 石油钻采工艺,2003,25(3):13-15. YANG Jin. Study on formation pressure prediction with BP net work and its application[J]. Oil Drilling & Production Technol ogy,2003,25(3):13-15. [11] HARIS A,SITORUS R J,RIYANTO A. Pore pressure predic tion using probabilistic neural network:Case study of South Sumatra Basin[J]. IOP Conference Series:Earth and Environ mental Science,2017,62(1):012021. [12] AHMED A,ELKATATNY S,ALI A,et al. New model for pore pressure prediction while drilling using artificial neural net works[J]. Arabian Journal for Science & Engineering,2019,44(6):6079-6088. [13] ABDULMALEK A S,MAHMOUD A A,ELKATATNY S,et al. Prediction of pore and fracture pressures using support vec tor machine[R]. Virtual:International Petroleum Technology Conference,2019. [14] ANDRIAN D,ROSID M S,SEPTYANDY M R. Pore pressure prediction using Anfis method on well and seismic data field “Ayah”[J]. IOP Conference Series:Materials Science and En gineering,2020,854(1):012-041. [15] FARSI M,MOHAMADIAN N,GHORBANI H,et al. Predict ing formation pore-pressure from well-log data with hybrid ma chine learning optimization algorithms[J]. Natural Resources Research,2021,30(5):3455-3481. [16] PICHITA B,THANANYA R,PAKAWAT P,et al. Pore pressure estimation by using machine learning model[R]. Virtual:Inter national Petroleum Technology Conference,2021. [17] 杨琼. 基于机器学习算法的地层压力智能预测及参数优选[D]. 北京:中国石油大学(北京),2024. YANG Qiong. Intelligent prediction of formation pressure and parameter optimization based on machine learning algorithm [D]. Beijing:China University of Petroleum(Beijing),2024. [18] 文志刚,罗雨舒,刘江艳,等. 陇东地区三叠系长7段页岩油储层孔隙结构特征及成因机制[J]. 岩性油气藏,2022,34(6):47-59. WEN Zhigang,LUO Yushu,LIU Jiangyan,et al. Pore structure characteristics and genetic mechanism of Triassic Chang 7 shale oil reservoir in Longdong area[J]. Lithologic Reservoirs, 2022,34(6):47-59. [19] 沈健. 鄂尔多斯盆地陇东地区致密砂岩储层碳酸盐胶结物特征及成因机理[J]. 岩性油气藏,2020,32(2):24-32. SHEN Jian. Carbonate cementation characteristics and genetic mechanism of tight sandstone reservoirs in Longdong area,Or dos Basin[J]. Lithologic Reservoirs,2020,32(2):24-32. [20] 曹江骏,王茜,王刘伟,等. 鄂尔多斯盆地合水地区三叠系长7段夹层型页岩油储层特征及主控因素[J]. 岩性油气藏, 2024,36(3):158-171. CAO Jiangjun,WANG Xi,WANG Liuwei,et al. Characteris tics and main controlling factors of interbedded shale oil reser voirs of Triassic Chang 7 member in Heshui area,Ordos Basin [J]. Lithologic Reservoirs,2024,36(3):158-171. [21] 张才利,刘新社,杨亚娟,等. 鄂尔多斯盆地长庆油田油气勘探历程与启示[J]. 新疆石油地质,2021,42(3):253-263. ZHANG Caili,LIU Xinshe,YANG Yajuan,et al. Petroleum ex ploration history and enlightenment of Changqing oil field in Ordos Basin[J]. Xinjiang Petroleum Geology,2021,42(3): 253-263. [22] 李士祥. 鄂尔多斯盆地中生界异常低压成因及对成藏的影响[D]. 成都:成都理工大学,2019. LI Shixiang. Effects on petroleum accumulation and genesis of the Mesozoic abnormal low pressure in Ordos Basin[D]. Chengdu: Chengdu University of Technology,2019. [23] 宋宣毅,刘月田,马晶,等. 基于灰狼算法优化的支持向量机产能预测[J]. 岩性油气藏,2020,32(2):134-140. SONG Xuanyi,LIU Yuetian,MA Jing,et al. Productivity fore cast based on support vector machine optimized by grey wolf optimizer [J]. Lithologic Reservoirs,2020,32(2):134-140. [24] TROJOVSKÁ E,DEHGHANI M TROJOVSKÝ P. Zebra opti mization algorithm:A new bio-inspired optimization algorithm for solving optimization algorithm[J]. IEEE Access,2022,(10): 49445-49473. [25] 周庆. 基于灰色主成分的聚合物驱操作成本预测方法[J]. 岩性油气藏,2012,24(5):116-119. ZHOU Qing. Prediction method of polymer flooding operation cost based on gray principal component analysis[J]. Lithologic Reservoirs,2012,24(5):116-119. [26] 刘明明,王全,马收,等. 基于混合粒子群算法的煤层气井位优化方法[J]. 岩性油气藏,2020,32(6):164-171. LIU Mingming,WANG Quan,MA Shou,et al. Well placement optimization of coalbed methane based on hybrid particle swarm optimization algorithm[J]. Lithologic Reservoirs,2020, 32(6):164-171. |
|