Integrated High Resolution 3D Model Update in Challenging Mauddud Carbonates, Raudhatain Field, North Kuwait

David Nelson Jesudian, J. Coronado, Nour Esam Al-Abboud
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Abstract

Mauddud Formation is a major oil-producing reservoir in Raudhatain Field of North Kuwait. The Mauddud Formation is an early Albian in age and it was generated an environment of the shallow-water carbonate and consists of Grainstones, Wackestones and Mudstones deposited in ramp settings. In Raudhatain field (RAMA) is undertaking massive development efforts with planned enhancement in Oil production. Reservoir description and distribution of rock properties in 3D space are challenging due to inherent reservoir heterogeneity, in this case primarily driven by depositional and diagenetic patterns. KOC North Kuwait Reservoir Studies Team (NK RST) has been challenged to increase the production from several key NK oil fields. To achieve this goal, KOC has partnered with Schlumberger to rebuild integrated model with Petrophysics, Geophysics, and Geology and Reservoir data of the Mauddud Reservoir. The original model was required to minimize challenges in new infill locations, increase Oil recovery factor and detect water breakthrough to minimize water production. One of the key issues in creating RAMA reservoir model is integration of all available data in identifying the horizontal permeability, reservoir heterogeneity and identification of thief zones. A fine Geological grid model with 35M cells, 10 Geological horizons has been built to characterize the Mauddud reservoirs of the RAMA field including the permeability from PLT logs combined with petrophysical and lithological / facies data to add more understanding of the distribution of reservoir properties. Log response group methodology and the undeveloped area in the Saddle (structurally low area) has been modelled for the first time in Raudhatain NK Field. This combined study utilizes the available data and cutting-edge technology using Geo2Flow which resulted in fluid compartmentalization and free water level identification. STOOIP has been upgraded and unlocking potential in new segments of the developed field. The original model was built based on vertical/Deviation wells (345) which lead to discrepancies in the structural interpretation. The new update has been carried out including all horizontal wells to minimize the uncertainty in the structure framework.
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科威特北部Raudhatain油田挑战性Mauddud碳酸盐岩集成高分辨率3D模型更新
Mauddud地层是北科威特Raudhatain油田的一个主要产油层。Mauddud组为早Albian时期,形成于浅水碳酸盐岩环境,由斜坡沉积的颗粒岩、碎屑岩和泥岩组成。Raudhatain油田(RAMA)正在进行大规模的开发工作,计划提高石油产量。由于储层固有的非均质性,在这种情况下,主要受沉积和成岩模式的影响,因此在三维空间中描述储层和岩石属性分布具有挑战性。KOC北科威特油藏研究小组(NK RST)面临着提高几个关键NK油田产量的挑战。为了实现这一目标,KOC与斯伦贝谢合作,利用Mauddud油藏的岩石物理、地球物理、地质和油藏数据重建了集成模型。最初的模型需要最大限度地减少新填充位置的挑战,提高采收率,并检测水突破,以最大限度地减少产水。建立RAMA储层模型的关键问题之一是整合所有可用数据,以识别水平渗透率、储层非均质性和识别盗窃层。建立了一个包含35M单元、10个地质层的精细地质网格模型来描述RAMA油田的Mauddud储层,包括PLT测井的渗透率,结合岩石物理和岩性/相数据,以增加对储层性质分布的了解。在Raudhatain NK油田,首次对测井响应组方法和鞍区未开发区域(低构造区)进行了建模。这项综合研究利用现有数据和Geo2Flow的尖端技术,实现了流体分区和自由水位识别。STOOIP已经升级,并在已开发油田的新领域释放潜力。最初的模型是基于直井/斜井(345口)建立的,这导致了构造解释的差异。新的更新包括所有水平井,以最大限度地减少结构框架的不确定性。
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