Integrated Solutions to Maximize Asset Value for Mature Field Development: A Case Study

Anar Abdulkarim, A. Aki, Mohammed Al Jahwari
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Abstract

Monitoring and re-evaluation of petrophysical attributes in a mature field under production for many decades is crucial for optimizing production and further development planning. In this case study, a multidisciplinary approach is deployed for formation evaluation and reservoir characterization using logging-while-drilling (LWD) sensors spanning formation volumetrics, fluid analysis, high-resolution image interpretation, and geomechanics to confirm remaining oil saturations and help identify recompletion intervals. LWD technologies were used in four wells in Sahmah field of Oman to provide an integrated petrophysical and geomechanical field study using a bottomhole assembly (BHA) including gamma ray, resistivity, formation bulk density, thermal neutron, acoustic, high-resolution imaging, and formation pressure testing sensors. A deterministic multimineral petrophysical model was used to derive formation volumetrics and fluid analysis. Geomechanical interpretation used high-resolution microresistivity imaging, acoustic slownesses, and formation pressure data to verify principal stress orientations and to quantify pore pressure and horizontal minimum and maximum stress magnitudes. These data were then correlated with historical data to evaluate sweep efficiency and residual fluid saturations. LWD sensors have proven to provide robust geological, petrophysical, and geomechanical data compared to previous traditional wireline data acquisition. High-resolution images facilitated fracture evaluation and the determination of the rock facies. Formation pressures were used to fine-tune the geomechanical parameters and depletion profile. With the integration of historical data, remaining oil saturations were estimated, which enabled new completions intervals. Well test results and the production profiles further facilitated re-evaluation of the original petrophysical cutoffs for the calculation of the oil in place and remaining oil saturations. Reservoir petrophysical attributes were then updated, taking into account the pressure depletion intervals while honoring history matching to help design future well construction and development drilling. The pilot case study helped better understand the flow units in this mature field and facilitated benchmarking future petrophysical data gathering requirements and optimization of the overall reservoir management strategy, including well-construction options to help minimize field development costs.
成熟油田开发中实现资产价值最大化的集成解决方案:案例研究
对处于生产状态的成熟油田进行数十年的岩石物理属性监测和重新评价,对于优化生产和进一步的开发规划至关重要。在本案例研究中,采用多学科方法进行地层评价和储层表征,使用随钻测井(LWD)传感器,包括地层体积测量、流体分析、高分辨率图像解释和地质力学,以确认剩余油饱和度,并帮助确定再完井间隔。LWD技术在阿曼Sahmah油田的四口井中使用,通过底部钻具组合(BHA)提供综合岩石物理和地质力学现场研究,包括伽马射线、电阻率、地层体积密度、热中子、声波、高分辨率成像和地层压力测试传感器。采用确定性多矿物岩石物理模型推导地层体积和流体分析。地质力学解释使用高分辨率微电阻率成像、声慢度和地层压力数据来验证主应力方向,并量化孔隙压力和水平最小和最大应力值。然后将这些数据与历史数据相关联,以评估扫描效率和剩余流体饱和度。与之前的传统电缆数据采集相比,LWD传感器已被证明可以提供可靠的地质、岩石物理和地质力学数据。高分辨率图像有助于裂缝评估和确定岩石相。利用地层压力对地质力学参数和衰竭剖面进行微调。通过整合历史数据,估算了剩余油饱和度,从而确定了新的完井层段。试井结果和生产剖面进一步促进了对原始岩石物理分界线的重新评估,从而计算出原位油和剩余油饱和度。然后更新储层岩石物理属性,考虑到压力耗尽间隔,同时遵循历史匹配,以帮助设计未来的井建设和开发钻井。该试点案例研究有助于更好地了解该成熟油田的流动单元,有助于制定未来岩石物理数据收集要求的基准,并优化整体油藏管理策略,包括建井方案,以帮助最大限度地降低油田开发成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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