|
|
|
| Real-time forward modeling and inversion of logging-while-drilling electromagnetic measurements and its application in horizontal wells |
| WANG Lei1, 2, 3, LIU Yingming4, WANG Caizhi4, FAN Yiren1, 2, 3, WU Zhenguan1, 2, 3 |
1. School of Geosciences, China University of Petroleum, Qingdao 266580, China;
2. Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China;
3. CNPC Key Laboratory for Well Logging, China University of Petroleum, Qingdao 266580, China;
4. Research Institute of Petroleum Exploration & Development, PetroChina, Beijing 100083, China |
|
|
|
|
Abstract During drilling of a horizontal well, conducting quick forward and inversion modeling by using electromagnetic logging-while-drilling data is very important for geosteering and reservoir evaluation. Based on the pseudo-analytical equation of electromagnetic log for layered formation, an optimal boundary match method is proposed to adaptively truncate the encountered formation structures. An efficient integral method is put forward to significantly accelerate the convergence of Sommerfeld integral. By asymptotically approximating and subtracting the first reflection/transmission waves from the scattered field, the new Sommerfeld integral method has addressed difficulties encountered by the traditional digital filtering method, such as low computational precision and limited operating range. Using the new integral approach in association with the boundary match method, the computation speed of LWD EM measurements has been improved dramatically. Then, by making use of the priori information from the offset/pilot wells and interactively adjusting the formation model, good initial guesses of the inversion model is determined in order to predict the nearby formation boundaries. Finally, the gradient optimization algorithm in association with the fast modeling algorithm is developed and an interactive inversion system for the LWD EM data from the horizontal wells is established. The inverted results of field data demonstrated that the real-time interactive inversion method is capable of providing the accurate boundaries of layers around the wellbore from the LWD EM measurements, and it will benefit the wellbore trajectory optimization and reservoir interpretation.
|
|
Received: 14 March 2020
Published: 19 October 2020
|
|
|
|
|
|
| Cite this article: |
|
WANG Lei,LIU Yingming,WANG Caizhi, et al. Real-time forward modeling and inversion of logging-while-drilling electromagnetic measurements and its application in horizontal wells[J]. Petroleum Exploration and Development, 0, (): 20201216-20201216.
|
|
|
|
| URL: |
| http://www.cpedm.com/EN/ OR http://www.cpedm.com/EN/Y0/V/I/20201216 |
[1] 高杰, 辛秀艳, 陈文辉, 等. 随钻电磁波电阻率测井之电阻率转化方法与研究[J]. 测井技术, 2008, 32(6): 503-507.
GAO Jie, XIN Xiuyan, CHEN Wenhui, et al.Resistivity derivation in electromagnetic wave propagation resistivity logging while drilling[J]. Well Logging Technology, 2008, 32(6): 503-507.
[2] HU Song, LI Jun, GUO Hongbo, et al.Analysis and application of the response characteristics of DLL and LWD resistivity in horizontal well[J]. Applied Geophysics, 2017, 14(3): 351-362.
[3] WANG Lei, FAN Yiren.Fast inversion of logging while drilling azimuthal resistivity measurements for geosteering and formation evaluation[J]. Journal of Petroleum Science and Engineering, 2019, 176: 342-351.
[4] 范宜仁, 胡云云, 李虎, 等. 随钻电磁波测井仪器偏心条件下响应模拟与分析[J]. 中国石油大学学报(自然科学版), 2014, 38(2): 59-66.
FAN Yiren, HU Yunyun, LI Hu, et al.Numerical modeling and analysis of response of eccentric electromagnetic logging while drilling tool[J]. Journal of China University of Petroleum(Science & Technology Edition), 2014, 38(2): 59-66.
[5] LI Qiming, LIU Chengbing, MAESO C, et al.Automated interpretation for LWD propagation resistivity tools through integrated model selection[J]. Petrophysics, 2004, 45(1): 14-26.
[6] WANG Hanming, GARROW P, SILVA P.Correcting LWD propagation resistivity in horizontal sinusoidal wells for better water saturation estimate: case study in a deep water, channelized turbidite reservoir[R]. New Orlands, Louisiana, USA: SPE Annual Technical Conference and Exhibition, 2013.
[7] PARDO D, TORRES-VERDÍN C. Fast 1D inversion of logging-while-drilling resistivity measurements for improved estimation of formation resistivity in high-angle and horizontal wells[J]. Geophysics, 2015, 80(2): E111-E124.
[8] ZHOU Qiang.Uncertainty in geosteering and interpretation of horizontal wells: The necessity for constraints and geometric models[J]. The Leading Edge, 2015, 34(5): 492-499.
[9] HONG Decheng, XIAO Jiaqi, ZHANG Guoyan, et al.Characteristics of the sum of cross-components of triaxial induction logging tool in layered anisotropic formation[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(6): 3107-3115.
[10] GAO Jie, XU Chenhao, XIAO Jiaqi.Forward modeling of multi-component induction logging tools in layered anisotropic dipping formations[J]. Journal of Geophysics and Engineering, 2013, 10(5): 54-67.
[11] MICHALSKI K A, ZHENG Dalian.Electromagnetic scattering and radiation by surfaces of arbitrary shape in layered media(I): Theory[J]. IEEE Transactions on Antennas and Propagation, 1990, 38(3): 335-344.
[12] 姚东华, 汪宏年, 杨守文, 等. 用传播矩阵法研究层状正交各向异性地层中多分量感应测井响应[J]. 地球物理学报, 2010, 53(12): 3026-3037.
YAO Donghua, WANG Hongnian, YANG Shouwen, et al.Study on the responses of multi-component induction logging tool in layered orthorhombic anisotropic formations by using propagator matrix method[J]. Chinese Journal of Geophysics, 2010, 53(12): 3026-3037.
[13] ANDERSON W L.Numerical integration of related Hankel transforms of orders 0 and 1 by adaptive digital filtering[J]. Geophysics, 1979, 44(7): 1287-1305.
[14] LI Dawei, WILTON D R, JACKON D R, et al.Accelerated computation of triaxial induction tool response for arbitrary deviated wells in planar-stratified transversely isotropic formations[J]. IEEE Geoscience and Remote Sensing Letters, 2018, 15(6): 902-906.
[15] 王磊, 范宜仁, 袁超, 等. 随钻方位电磁波测井反演模型选取及适用性[J]. 石油勘探与开发, 2018, 45(5): 914-922.
WANG Lei, FAN Yiren, YUAN Chao, et al.Selection criteria and feasibility of the inversion model for azimuthal electromagnetic logging while drilling(LWD)[J]. Petroleum Exploration and Development, 2018, 45(5): 914-922.
[16] WU Zhenguan, FAN Yiren, WANG Jiawei, et al.Application of 2.5-D finite difference method in Logging-While-Drilling electromagnetic measurements for complex scenarios[J]. IEEE Geoscience and Remote Sensing Letters, 2020, 17(4): 577-581.
[17] WU Zhenguan, DENG Shaogui, HE Xuquan, et al.Numerical simulation and dimension reduction analysis of electromagnetic logging while drilling of horizontal wells in complex structures[J]. Petroleum Science, 2020, 17(3): 645-657.
[18] GUPTASARMA D, SINGH B.New digital linear filters for Hankel J0 and J1 transforms[J]. Geophysical Prospecting, 1997, 45: 745-762. |
| [1] |
ZHOU Lihong, ZHAO Xianzheng, CHAI Gongquan, JIANG Wenya, PU Xiugang, WANG Xiaodong, HAN Wenzhong, GUAN Quansheng, FENG Jianyuan, LIU Xuewei. Key exploration & development technologies and engineering practice of continental shale oil: A case study of Member 2 of Paleogene Kongdian Formation in Cangdong Sag, Bohai Bay Basin, East China[J]. Petroleum Exploration and Development, 2020, 47(5): 1059-1066. |
|
|
|
|
