Reservoir Compaction and Surface Subsidence Assessment to Optimize Field Development Planning in Offshore Malay Basin, Malaysia

Priveen Raj Santha Moorthy, A. Chatterjee, A. Younessi, Amitava Ghosh
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Abstract

A geomechanical model calibrated to field data can be used to analyse the potentially severe impact of reservoir compaction on production. However, field data acquisition programmes can be expensive, and optimal reservoir monitoring design necessitates an understanding of reservoir dynamics. Forward geomechanical models can help establishing the appropriate field data gathering approach while reducing expenses and maximising value for model calibration. Significant reservoir compaction and surface subsidence have potential risks for fault reactivation, integrity of wells and surface facilities. This paper presents an integrated approach and workflow that combines geomechanically derived data, reservoir geometry and production data to predict reservoir compaction and surface subsidence throughout the life of the field. The results provide an essential understanding on the dynamics of production induced changes in effective stresses and formation mechanical properties and their impacts on the field development planning, risks mitigation and provision of contingencies for well construction and downhole and surface field monitoring requirements.
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马来西亚近海马来盆地储层压实和地表沉降评估优化油田开发规划
根据现场数据校准的地质力学模型可用于分析储层压实对生产的潜在严重影响。然而,现场数据采集方案可能很昂贵,而最佳油藏监测设计需要了解油藏动态。正演地质力学模型可以帮助建立适当的现场数据收集方法,同时减少费用并最大化模型校准的价值。严重的储层压实和地面沉降对断层的重新激活、井和地面设施的完整性具有潜在的风险。本文提出了一种综合方法和工作流程,将地质力学数据、油藏几何形状和生产数据结合起来,预测油田整个生命周期内的油藏压实和地面沉降。研究结果有助于了解有效应力和地层力学特性的动态变化,以及它们对油田开发规划、风险缓解和应急措施的影响,从而满足油井建设以及井下和地面现场监测需求。
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