Improving Aging Field Value Through Production Data Revitalization

I. Jamaludin, Zhaoyuan Tan, Nicholas Aloysius Surin, Zhong Ying Hew
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Abstract

Field-D consists of multi-stacked oil reservoirs with commingle production and dual strings. Well integrity issues are main challenges causing crossflow between zones and unintentional production/injection. With massive effort of rebuilding static model and rework on history matching (HM), many inconsistencies of production data allocation were discovered, such as oil recovery factor (RF) >60%. This paper discusses the exercise of cleaning up production data as per latest subsurface understanding and memory production logging tool (MPLT) campaigns. Reinterpretation of stratigraphic correlation, depositional environment, and petrophysical parameters are among major workflows during the static model rebuilding process. As current reservoir allocations are based on legacy permeability-thickness (KH) ratio, the requirement to revise allocation split based on latest understanding is considered compulsory. This is further justified by dynamic modeling HM exercise where inconsistencies are observed between legacy data and model response, resulting in poor HM quality and unrealistic RF, suggesting different production/injection distribution than in current database. Additionally, MPLT campaign is executed every year to obtain latest split percentage. A pilot exercise is embarked on to redefine contribution for each zone in every well in fault block VIII and rerun allocation starting day 1. Successful production data allocation rerun is expected to demonstrate representative RF for individual reservoir. Higher RF are expected for zones with secondary drive mechanism i.e., water and gas injection, as opposed to natural depletion reservoirs (NDR). This exercise also will enable accurate reporting during the Annual Reporting of Petroleum Resources (ARPR) to the host government. Additionally, more accurate forecast using decline curve analysis (DCA) can be realized, and robust analysis can be performed to improve respective reservoir RF. Better well management also is anticipated as zonal isolation such as water or gas shut off or adding perforation jobs can be properly planned and executed. Looking from injection well point of view, proper distribution will be possible so that only targeted zones will receive the pressure support. A full field implementation is currently ongoing for the rest of fault block in Field-D.
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通过生产数据振兴提升老化油田价值
d油田为双管柱、单产的多层油藏。井的完整性问题是造成层间交叉流动和意外生产/注入的主要挑战。通过对静态模型的大量重建和历史匹配(HM)的返工,发现了许多生产数据分配不一致的现象,如采收率(RF) >60%。本文讨论了根据最新的地下理解和记忆生产测井工具(MPLT)活动清理生产数据的练习。地层对比、沉积环境和岩石物理参数的重新解释是静态模型重建过程中的主要工作流程。由于目前的储层分配是基于传统的渗透率-厚度(KH)比,因此必须根据最新的认识修改分配分配。动态建模HM练习进一步证明了这一点,其中在遗留数据和模型响应之间观察到不一致,导致HM质量差和不切实际的RF,表明与当前数据库不同的生产/注入分布。此外,MPLT活动每年执行一次,以获得最新的分割百分比。从第一天开始,开始了一项试点工作,重新定义了VIII断块每口井每个层的产量贡献,并重新进行了分配。成功的生产数据重新分配有望证明单个油藏的代表性RF。与自然枯竭油藏(NDR)相比,具有二次驱动机制(即注水和注气)的区域预计会有更高的RF。这项工作还可以在向东道国政府提交石油资源年度报告(ARPR)期间进行准确的报告。此外,利用递减曲线分析(DCA)可以实现更准确的预测,并可以进行稳健分析,以提高各自的储层RF。通过合理规划和执行层间隔离措施,例如断水、断气或增加射孔作业,也有望实现更好的井管理。从注水井的角度来看,适当的分布是可能的,这样只有目标区域才能得到压力支持。目前正在对d油田的其余断块进行全现场实施。
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