Reservoir Architecture as a Driver for Effective Field Development Planning in an Un-Appraised Field; Kz field, Kazakhstan as a Case Study

O. Kakayor
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Abstract

Successful oil and gas field development in clastic reservoirs is usually dependent on the amount of subsurface data available to be evaluated during field maturation. The general rule is that more data reduces subsurface uncertainties. This invites expensive appraisal campaigns that invariably leads to delays in investment decisions and increased costs in development projects. The present study highlights how the understanding and definition of the architecture of the reservoir coupled with the use of analogue database as a methodology can be used to enhance hydrocarbon development in fields that are not fully appraised. The un-appraised Kz field is used as a case study. Kz field, with an expectation In-Place oil of ca. 1150 MMstb is located SW of the Kashagan field in the Caspian Sea, Kazakhstan. The field consists of 11 stacked hydrocarbon-bearing reservoirs of varying thicknesses penetrated by a single exploration well. Due to the paucity of well penetration, subsurface uncertainty that impact on hydrocarbon volume and recovery is high. The methodology used was to combine the wells log and core data in addition to the use of sequence stratigraphic technique to derive sedimentological conceptual models. Analogue databases were then used to derive a geological meaningful range of dimensions for the geometry of the respective sand bodies. These ranges were then used an input for in-place volume ranges. Evaluation results showed a volume range that could support a go-forward decision for further investment in the field. Based on these results, some preliminary field development decisions were taken prior to dynamic simulation. Decisions include; (i) Drill six wells (ii) Do Multi-zone Well Completions and (iii) use two drill centers to optimally develop the field (Phase-1). The key strength of this approach is that some key Field Development decisions can already be made before appraisal using basic sedimentological concepts and analogue database studies.
未评价油田储层构型对有效开发规划的推动作用以哈萨克斯坦Kz油田为例
碎屑岩储层油气田的成功开发通常取决于油气田成熟过程中可供评估的地下数据量。一般规律是,更多的数据会减少地下的不确定性。这就导致了昂贵的评估活动,不可避免地导致投资决策的延迟和开发项目成本的增加。目前的研究强调了如何理解和定义储层的结构,结合使用模拟数据库作为一种方法,可以用来加强尚未得到充分评价的油田的油气开发。以未评价的Kz油田为例进行研究。Kz油田位于哈萨克斯坦里海Kashagan油田的西南部,预计现有石油储量约为11.5亿立方米。该油田由11个不同厚度的叠层含油气储层组成,由一口勘探井穿透。由于井深不足,地下不确定性对油气体积和采收率的影响很大。所使用的方法是结合测井和岩心数据,并使用层序地层学技术来推导沉积学概念模型。然后使用模拟数据库为各自砂体的几何形状推导出具有地质意义的尺寸范围。然后将这些范围用作就地音量范围的输入。评估结果显示,产量范围可以支持进一步投资的决策。基于这些结果,在进行动态模拟之前,进行了一些初步的油田开发决策。决策包括;(i)钻6口井;(ii)进行多层完井;(iii)使用两个钻井中心来优化开发油田(第一阶段)。这种方法的关键优势在于,在使用基本的沉积学概念和模拟数据库研究进行评估之前,已经可以做出一些关键的油田开发决策。
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