Multiscale evaluation of a thin-bed reservoir

IF 0.4 Q4 ENVIRONMENTAL SCIENCES Geology, Geophysics and Environment Pub Date : 2021-04-27 DOI:10.7494/GEOL.2021.47.1.5
Anita Lis-Śledziona
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引用次数: 1

Abstract

A thin-bed laminated shaly-sand reservoir of the Miocene formation was evaluated using two methods: high resolution microresistivity data from the XRMI tool and conventional well logs. Based on high resolution data, the Earth model of the reservoir was defined in a way that allowed the analyzed interval to be subdivided into thin layers of sandstones, mudstones, and claystones. Theoretical logs of gamma ray, bulk density, horizontal and vertical resistivity were calculated based on the forward modeling method to describe the petrophysical properties of individual beds and calculate the clay volume, porosity, and water saturation. The relationships amongst the contents of minerals were established based on the XRD data from the neighboring wells; hence, the high-resolution lithological model was evaluated. Predicted curves and estimated volumes of minerals were used as an input in multimineral solver and based on the assumed petrophysical model the input data were recalculated, reconstructed and compared with the predicted curves. The volumes of minerals and input curves were adjusted during several runs to minimalize the error between predicted and recalculated variables. Another approach was based on electrofacies modeling using unsupervised self-organizing maps. As an input, conventional well logs were used. Then, the evaluated facies model was used during forward modeling of the effective porosity, horizontal resistivity and water saturation. The obtained results were compared and, finally, the effective thickness of the reservoir was established based on the results from the two methods.
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薄层油藏的多尺度评价
采用XRMI工具的高分辨率微电阻率数据和常规测井数据两种方法对中新世薄层层状泥砂岩储层进行了评价。基于高分辨率数据,油藏的地球模型被定义为一种方法,允许将分析的层段细分为砂岩、泥岩和粘土岩的薄层。基于正演模拟方法,计算伽马射线、体积密度、水平电阻率和垂直电阻率理论测井曲线,描述各层岩石物性,计算粘土体积、孔隙度和含水饱和度。根据邻近井的XRD数据,建立了矿物含量之间的关系;因此,对高分辨率岩性模型进行了评价。将预测曲线和估计矿物体积作为多矿物求解器的输入,在假定岩石物理模型的基础上,对输入数据进行重新计算、重构,并与预测曲线进行对比。在几次运行中调整了矿物的体积和输入曲线,以尽量减少预测变量和重新计算变量之间的误差。另一种方法是基于无监督自组织图的电相建模。作为输入,使用了常规测井数据。利用评价相模型对有效孔隙度、水平电阻率和含水饱和度进行正演模拟。最后,将两种方法的计算结果进行对比,确定储层的有效厚度。
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