[1] 何胜林, 李明, 王光, 等. GeoSphere地质导向工具在深水气田水平井钻井中的应用[J]. 天然气工业, 2021, 41(4): 91-96.
He Shenglin, Li Ming, Wang Guang, et al. Application of GeoSphere geosteering tool to the drilling of horizontal wells in deepwater gas field[J]. Natural Gas Industry, 2021, 41(4): 91-96.
[2] 石玉江, 刘国强, 钟吉彬, 等. 基于大数据的测井智能解释系统开发与应用[J]. 中国石油勘探, 2021, 26(2): 113-126.
Shi Yujiang, Liu Guoqiang, Zhong Jibin, et al. Development and application of intelligent logging interpretation system based on big data[J]. China Petroleum Exploration, 2021, 26(2): 113-126.
[3] 侯亮, 杨虹, 赵颇如, 等. 随钻远探-前视技术发展现状[J]. 世界石油工业, 2020, 27(2): 35-41.
Hou Liang, Yang Hong, Zhao Poru, et al. Development of looking forward and looking around technology while drilling[J]. World Petroleum Industry, 2020, 27(2): 35-41.
[4] Xie H, Sun K L, Gremillion J, et al. An advanced ultrahigh-definition directional electromagnetic propagation logging tool for mapping while drilling and multilayered formation evaluation[R]. SPWLA-2022-0050, 2022.
[5] Thurawat C, Teeratananon W, Ampaiwan T, et al. High-resolution remote mapping of thin sand lobes with novel multilayer mapping-while-drilling tool: A case study from Nong Yao Field Offshore Thailand[R]. SPE-209863-MS, 2022.
[6] Kovarskiy E, Cuadros G, Snovida Z, et al. Improving reservoir exposure in thin heterogeneous carbonera formation with the new multilayer mapping-while-drilling technology: A case study[R]. SPWLA-2022-0061, 2022.
[7] Jenakumo T, Adekoya O, Itua J, et al. Overcoming the late-stage development challenges of Bonga turbidite reservoirs via geosteering technology deployment[R]. SPE-212029-MS, 2022.
[8] Adilbekov K, Kozov K, Mukanov E, et al. Well placement helps to manage large structural uncertainty while drilling a horizontal well in S Nurzhanov Field, show case from Kazakhstan[R]. SPE-202516-MS, 2020.
[9] McDermott S, Wang H F, Yang Liu Y, et al. An integrated approach for tackling and resolving horizontal drilling challenges in the Eromanga Basin to maximise production benefits[R]. SPE-202356-MS, 2020.
[10] Keli Sun, Thiel M, Mirto E, et al. New generation of ultra-high definition directional propagation resistivity for real time reservoir characterization and geosteering-while-drilling[R]. SPE-204739-MS, 2021.
[11] Salim D, Thiel M, ?yen B N, et al. High performance computing on the cloud successfully deployed for 3D geosteering and reservoir mapping while drilling[R]. SPE-204828-MS, 2021.
[12] Santoso G I, Denichou J M, Al-Alqum W, et al. Collaborative Web Based Platform for 3D Reservoir Characterization and Geosteering Planning on the Cloud[R]. IPTC-22203-EA, 2022.
[13] Wang H F, Thiel M, Denichou J M, et al. Toward three-dimensional reservoir mapping - A new approach for mapping reservoirs with advanced ultra-deep azimuthal resistivity measurements[R]. SPWLA-2021-0040, 2021.
[14] Salim D C, Etchebes M, Alexander M, et al. Novel 3D reservoir characterization approach in high-angle wells by means of multiphysics integration of seismic and advanced LWD ultra-deep resistivity inversions[R]. SPE-207499-MS, 2021.
[15] Kolomytsev A, Pronyaeva Y. 3D petrophysics for HAWE: Case studies[R]. SPWLA-2021-0055, 2021.
[16] Thiel M, Omeragic D. Full 3D reservoir mapping using deep directional resistivity measurements[R]. SPE-201281-MS, 2020.
[17] Elkhamry A, Taher A, Bikchandaev E, et al. Real-time 3D anisotropy analysis enables lithology identification at distance[R]. SPWLA-2022-0052, 2022.
[18] Clegg N, Sinha S, Rodriguez R K, et al. Ultra-deep 3D electromagnetic inversion for anisotropy, a guide to understanding complex fluid boundaries in a turbidite reservoir[R]. SPWLA-2022-0119, 2022.
[19] Sinha S, Walmsley A, Clegg N, et al. Past, present and future applications of ultra-deep directional resistivity measurements: A case history from the Norwegian continental shelf[R]. SPWLA-2022-0045, 2022.
[20] Wu H H, Cull A, Pan L, et al. A new generation of LWD geosteering electromagnetic resistivity tool providing multi-layered bed boundary detection, anisotropy determination, and azimuthal resistivity measurements for accurate well placement and formation evaluation[R]. SPWLA-2022-0049, 2022. |