Experimental determination of porosity and permeability properties of terrigenous reservoirs for creation and validation of a digital core model

Experimental determination of porosity and permeability properties of terrigenous reservoirs for creation and validation of a digital core model
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陆源储层孔隙度和渗透率特性的实验测定,用于创建和验证数字岩心模型

DOI:
10.3897/issn2541-8416.2018.18.4.141
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发表时间:
2018
期刊:
Arctic Environmental Research
影响因子:
--
通讯作者:
I. Belozerov
I. Belozerov
中科院分区:
--
文献类型:
--
作者:
I. Belozerov

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数字岩心建模是评估原始油藏的一项重要任务。该技术可被视为物理实验的额外工具,能够提供快速有效的多孔介质建模。本文的目的是通过实验确定岩石的孔隙度和渗透率特性,并证明将它们用于数字岩心建模的可能性。本文还验证了利用薄片岩性和岩石学测量结果进行数字岩心建模的可行性。通过储层条件的实验研究,获得了Buff Berea油田陆源储层煤油渗透率与温度的关系曲线,确定了其主要的孔渗特性。本文还验证了利用储层薄片岩性和岩石学测量结果,通过机器学习形成数字岩心模型孔隙空间结构的可行性。选择该储层的原因是,美国Berea砂岩的陆源砂岩具有孔隙度和渗透率各向异性最小、孔隙度和渗透率相对较高、组成岩石粒度均匀、分选良好的特点。因此,石油工业专家认为这些岩石的样本最适合进行应用研究和测试各种技术。得到的结果被用来选择所需的参数,以模拟过滤流动的数字模型的核心。
Digital core modelling is a vital task assessing original-oil-in-place. This technology can be seen as an additional tool for physical experiments capable of providing fast and efficient modelling of porous media. The objective of the paper is to determine experimentally the porosity and permeability properties of rocks and justify the possibility of using them for digital core modelling. The paper also validates feasibility of using the results of lithologic and petrographic surveys of thin sections in digital core modelling. The experimental studies of reservoir conditions allowed us to obtain curves of the dependence between the kerosene permeability of the terrigenous reservoir of the Buff Berea field and the temperature and to determine its main porosity and permeability properties. The paper also validates feasibility of applying the results of lithologic and petrographic surveys of thin sections of the reservoir to form the structure of the pore space of a digital core model by machine learning. The choice of this reservoir stems from the fact that the terrigenous sandstones of Berea Sandstone (USA) are characterised by minimal anisotropy of porosity and permeability properties, relatively high porosity and permeability, as well as uniformly sized grains of the composing rocks and good sorting. Oil industry experts therefore consider samples of these rocks to be most suitable for conducting applied research and testing various technologies. The results obtained were used to select the parameters required for modelling filtration flows in a digital model of the core.
DOI: 10.1016/j.cageo.2012.09.005
发表时间: 2013-01-01
影响因子: 4.4
作者:
Andrae, Heiko;Combaret, Nicolas;Zhan, Xin
通讯作者: Zhan, Xin