Uncertainty Study Aids Development-Plan Optimization in Deepwater Gulf of Mexico

C. Carpenter
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Abstract

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper OTC 32622, “Development-Plan Optimization and Uncertainty Study in a Major Deepwater Field in the US Gulf of Mexico,” by Mohsen Rezaveisi, SPE, Jennifer L. Campbell, and Paula L. Wigley, Woodside Energy Group, et al. The paper has not been peer reviewed. Copyright 2023 Offshore Technology Conference. This paper describes development-plan optimization and a probabilistic uncertainty study using Latin hypercube experimental design constrained to production performance in Lower Miocene (LM) reservoirs of the deepwater Gulf of Mexico Shenzi Field. The purpose of the development-plan optimization was to identify, rank, and characterize future development opportunities (i.e., infills and injectors) in the LM reservoirs to arrest field decline. The study uses history-matched dynamic simulation models. The Shenzi discovery is approximately 122 miles off the coast of Louisiana in a water column approximately 4,400 ft deep (Fig. 1). This part of the field is a partially filled three-way closure against a salt-cored anticline. The discovery includes four main sand units (A, B, C, and D) that exhibit various degrees of hydraulic connectivity based on pressure data and production history. The area of interest in the current study is the Eastern part of the field. The geomodel covering the area of interest was built from two seismically interpreted horizons and approximately 180 faults. The model is subdivided into 13 zones using well-based true stratigraphic thickness maps. The average cell height is 2–3.5 ft thick with heterolithics driving the lower end of the range. Sequential indicator simulation was used to populate facies using well-based net sand trend maps by zone. In zones with evidence of channelization, a second nested facies model was used to build channels into the model. Shenzi East reservoir properties are good because of the high-quality sand deposited in the field. Lower reservoirs (C and D) have slightly more depositional complexity because of the varying paleotopography and a lower average net-to-gross (NTG) of approximately 53%. Upper reservoirs (A and B) had a larger sediment supply and were more continuously deposited, which resulted in a larger average NTG of approximately 67%. The Shenzi East reservoir has been on production since March 2009, providing abundant production data for history matching. Of seven producers, six are still active, and the reservoir also features three water injectors. Producers and injectors are identified with letters P and I, respectively, followed by well numbers. Well P7 was drilled after 6 months of production from other producers; formation pressure data showing reservoir depletion are available for history matching. The water injectors were drilled in 2012–2013, but only two have formation pressure testing data available. Well P1 was completed in all sands; Wells P2, P3, and P6 were completed in three sands (D, C, and B); and the rest of the producers were completed in two sands (D and C). Production is commingled in all producers, resulting in allocation uncertainties between sands. Water production has been observed in five wells, with the current water cut in the range of 35–65%. The two most updip wells, P1 and P7, are still producing at zero water cut.
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不确定性研究有助于优化墨西哥湾深水区的开发计划
本文由 JPT 技术编辑 Chris Carpenter 撰写,收录了 OTC 32622 号论文 "美国墨西哥湾主要深水油田的开发计划优化和不确定性研究 "的要点,作者是 SPE 的 Mohsen Rezaveisi、Woodside Energy Group 的 Jennifer L. Campbell 和 Paula L. Wigley 等人,该论文未经同行评审。版权归 2023 年近海技术大会所有。 本文介绍了开发计划优化和概率不确定性研究,采用拉丁超立方实验设计,约束墨西哥湾深水神子油田下中新世(LM)储层的生产性能。开发计划优化的目的是对 LM 储层未来的开发机会(即充填和注入)进行识别、排序和定性,以阻止油田衰退。该研究采用了历史匹配动态模拟模型。 神子油田位于路易斯安那州海岸外约122英里处,水柱深度约为4400英尺(图1)。油气田的这一部分是一个部分充填的三向闭合层,与盐蚀反斜线相对。根据压力数据和生产历史,发现的油田包括四个主要砂层单元(A、B、C 和 D),它们呈现出不同程度的水力连通性。本次研究的重点区域是油田东部。 覆盖研究区域的地质模型是根据两个地震解释地层和大约 180 个断层建立的。该模型利用基于油井的真实地层厚度图细分为 13 个区域。平均单元高度为 2-3.5 英尺厚,下限为杂岩。利用基于油井的各区净砂趋势图,采用序列指示器模拟来填充岩相。在有通道化迹象的区域,使用第二个嵌套岩相模型在模型中建立通道。由于油田沉积了高质量的砂,因此沈子东油藏具有良好的属性。下部储层(C 和 D)由于古地形的变化,沉积复杂性稍高,平均净含量(NTG)较低,约为 53%。上层水库(A 和 B)的沉积物供应量更大,沉积也更连续,因此平均净含量(NTG)更高,约为 67%。 沈子东水库自 2009 年 3 月开始生产,为历史比对提供了丰富的生产数据。七个生产商中有六个仍在生产,该油藏还有三个注水器。生产商和注水井分别用字母 P 和 I 表示,后跟油井编号。P7 井是在其他生产商生产 6 个月后钻探的;地层压力数据显示储层枯竭,可用于历史数据匹配。注水井是在 2012-2013 年钻探的,但只有两口井有地层压力测试数据。P1 井在所有砂层中完钻;P2、P3 和 P6 井在三个砂层(D、C 和 B)中完钻;其余生产商在两个砂层(D 和 C)中完钻。所有产油井的产量都是混合的,这就造成了油砂之间分配的不确定性。已观察到五口井的产水量,目前的断水率在 35-65% 之间。位置最靠后的两口井 P1 和 P7 仍在以零断水率生产。
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