At-The-Bit Look-Around 3D Inversion; Key Milestone Achieved with Innovative Close to the Bit Ultra-Deep Azimuthal Resistivity Sensors

Author:

Elkhamry A.1,Maimani A. Al2,Fouda M.2,Taher A.2

Affiliation:

1. Saudi Aramco

2. Halliburton

Abstract

Abstract Efficient well placement profoundly depends on early geo-steering decisions to maximize reservoir contact. In highly undulated thin target zones, this can be more concerning as the formation dip changes abruptly. Such environments present a significant challenge where geo-mapping instruments are placed farther behind the bit in the bottom hole assembly, leading to relatively late decision making and more aggressive well path corrections. This paper presents the advantages of placing geo-mapping tools close to the drilling bit position leading to enhanced reservoir contact (Net-to-Gross) and less tortuous well bores. Deep and ultra-deep azimuthal resistivity measurements have historically provided a step change for proactive geo-steering, yet the challenge has always been the proximity of the sensors to the bit opposed to other less sophisticated near bit sensors. Well placement with conventional configurations have been regularly utilized to ensure maximum reservoir exposure with varying results due to unforeseen geo-structural changes such as the formation dipping regime (1D environment), lateral boundaries (2D environment) or channels (3D environment). A new tool design was introduced in which the ultra-deep resistivity transmitter was embedded into the rotary steerable system allowing 1D and 3D inversions to be closest to the bit position, offering at-the-bit visualization of the reservoir, hence, earlier, and less aggressive well path corrections could be made to optimize well placement and increase reservoir contact. Geo-mapping formation boundaries while drilling high angle sections with a near bit ultra-deep azimuthal resistivity inversion minimized potential reservoir exits while also minimizing wellbore tortuosity. This is critical for efficient well placement, minimizing drilling risks and smooth completions deployment. Horizontal wells were placed in thin reservoir targets that are successfully resolved by integrating 1D and 3D inversions to improve reservoir mapping, remote lithology and fluid identification to optimize well placement and reservoir evaluation. The accuracy of reservoir visualization from the near-bit resistivity inversion has been validated by other logging while drilling measurements in the drill string, such as triple combo and azimuthal images from several sensors. This paper presents the global first at-the-bit look-around inversion utilizing an ultra-deep resistivity sensor embedded in a rotary steerable system for horizontal well placement in two target sand packages. The proximity of the ultra-deep sensor to the bit enabled quicker decisions to optimally place the well in the target zone while reducing well tortuosity leading to a higher net-to-gross and a smoother well trajectory. This also facilitated the deployment of the completion equipment saving costly rig time.

Publisher

IPTC

Reference9 articles.

1. Clegg, N., Sinha, S., Rodriguez, K., Walmsely, A., Sviland-Østre, S., Lien, T., Mouatt, J., Marchant, D., and C.Schwarzbach. "Ultra-Deep 3D Electromagnetic Inversion for Anisotropy, a Guide to Understanding Complex Fluid Boundaries in a Turbidite Reservoir." Paper presented at the SPWLA 63rd Annual Logging Symposium, Stavanger, Norway, June 2022. doi: https://doi.org/10.30632/SPWLA-2022-0119

2. Clegg, N., Eriksen, E., Rawsthorne, L., de Leeuw, V., Marchant, D., and P.Belliveau. "3D Inversion of Ultradeep Electromagnetic Data, the Key to Understanding Complex Subsurface Geology." Paper presented at the Offshore Technology Conference Asia, Kuala Lumpur, Malaysia, November 2020. doi: https://doi.org/10.4043/30243-MS

3. Elkhamry, A., Clegg, N., Taher, A., and E.Bikchandaev. "The First Successful Azimuthal Well Placement Utilizing Real-Time Azimuthal Resistivity Measurements and Ultra-Deep 3D Inversion." Paper presented at the International Petroleum Technology Conference, Bangkok, Thailand, March 2023. doi: https://doi.org/10.2523/IPTC-22779-EA

4. Elkhamry, A., Taher, A., Bikchandaev, E., and M.Fouda. "Real-Time 3D Anisotropy Analysis Enables Lithology Identification at Distance." Paper presented at the SPWLA 63rd Annual Logging Symposium, Stavanger, Norway, June 2022. doi: https://doi.org/10.30632/SPWLA-2022-0052

5. Singh, M., DhermeshwarT., Parmanand, N. M., Al Baloushi, M., Ali Al Saadi, H., M.Al Mansoori, M., S.Al Mesafri, A., Al Arfi, S., K., Pandey, V., Al Shalabi, A., Maire, F., L.Barragan Chang, E., M.Kenawy, M., Ali Al Nuaimi, M., Boyd, D., Gerges, N., Fares, W., Bikchandaev, E., Clegg, N., Walmsley, A., and A.Aki. "Real-Time 3D Ultra Deep Directional Electromagnetic LWD Inversions: An Innovative Approach for Geosteering and Geomapping Water Slumping Movement Around Sub-Seismic Fault, Onshore Abu Dhabi." Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, Abu Dhabi, UAE, November 2021. doi: https://doi.org/10.2118/207478-MS

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3