Delivering Low Cost Wells at Matured Field with Enhanced Statistical Approach

M. H. Yusof, M. Z. Sulaiman, Rahimah A. Halim, Nurfaridah Bt Ahmad Fauzi, Ahgheelan Sella Thurai, Masseera Mahictin, Tg Zuhaili Tg Yahya, Fadli Adlan Muslim
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Abstract

This paper discusses the Case study of Field A in offshore Sarawak, Malaysia which focus on re-thinking development based on statistical analysis of the fields. Conventionally, well design is driven by subsurface requirement by targeting the high-reserve sand and well is designed to meet subsurface objectives. However, the conventional way may not be efficient to develop matured field environment due to the high CAPEX and the inconsistencies among well design especially in current volatile oil price period. The objective of this fit-for-purpose approach which is called "Cone Concept Statistical Approach" is to steer away from the conventional way of targeting only sweet spots whilst leaving the remaining potential resources undeveloped. Based on the statistical analysis and subsurface fields pattern, the "Cone Concept Statistical Approach" in which standardizing well design and trajectories was developed to extract the whole fields’ reserve at maximum. Well design boundaries were introduced to ensure this approach can be replicated throughout the field. Not only this study covers drilling perspective, completion perspective was also taken into consideration by exploring a cheaper and fit for purpose sand control method, considering it is a matured field with relatively short remaining field life. The Well Cost Catalogue for this field-specific was also developed which contains different types of design and completion, in order to holistically evaluate sand control method and identify the best option for the project moving forward. This "Cone Concept Statistical Approach" aims to enable operator to drill more simple wells within the same allocated budget in which poses low-to-none risk in the design and execution phase, promoting learning curve to improve operation & HSE, and ultimately to get positive project economics. Since this simple approach can be implemented early on even during the pre-FEL stage, the FDP team & host authority can come together to jointly discuss the targets/platform ranking and segregate them into various phases. Hence, the number of platforms or drilling centers, and its location also can be optimized early on with this concept, and again, translating into further reduction in overall project cost. This paper will help other operators and host authority to understand better on how a specific development concept on statistical approach can result and turn the matured-challenging fields into more economically attractive projects – low overall development cost and maximizing the recovery.
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利用改进的统计方法在成熟油田开发低成本井
本文以马来西亚沙捞越近海A油田为例,在对该油田进行统计分析的基础上,重点讨论了重新思考开发的问题。通常,井的设计是由地下需求驱动的,以高储量砂为目标,井的设计是为了满足地下目标。然而,在当前油价波动时期,由于较高的资本支出和井间设计的不一致性,常规方法可能无法有效地开发成熟的油田环境。这种符合目的的方法被称为“锥体概念统计方法”,其目的是摆脱传统方法,即只瞄准最佳区域,而不开发剩余的潜在资源。在统计分析的基础上,结合地下油田的分布规律,提出了标准化井设计和井眼轨迹的“锥概念统计方法”,以最大限度地提取整个油田的储量。引入了井设计边界,以确保该方法可以在整个油田中复制。考虑到该油田是一个成熟的油田,油田剩余寿命相对较短,本研究不仅涵盖了钻井角度,还考虑了完井角度,探索了一种更便宜、更适合的防砂方法。为了全面评估防砂方法并确定项目的最佳方案,还针对该油田开发了井成本目录,其中包含不同类型的设计和完井。这种“锥概念统计方法”旨在使作业者能够在相同的预算分配下钻更多的简单井,在设计和执行阶段的风险很低,甚至为零,促进学习曲线,以改善操作和HSE,最终获得积极的项目经济效益。由于这种简单的方法可以在fel前期实施,因此FDP团队和主办机构可以聚在一起共同讨论目标/平台排名,并将其划分为不同的阶段。因此,平台或钻井中心的数量及其位置也可以通过该概念在早期进行优化,从而进一步降低项目的整体成本。本文将帮助其他作业者和主管部门更好地了解统计方法的特定开发概念如何将具有挑战性的成熟油田转变为更具经济吸引力的项目,从而降低总体开发成本并最大化采收率。
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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