基于BHI方法的先进孔隙度和渗透率分析

Omar Mohammed Al Isaee, Dmitrii Smirnov, A. Al Hadhrami, Hilal AL Shabibi, F. Khayrutdinov, Fatma Khamis Al Jahwari, M. A. AL Raisi, Ibrahim Saleh Al-Maawali
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引用次数: 0

摘要

碳酸盐岩盐内细条纹地层的评价由于其岩石岩性的性质,在复白云化和后白云化过程中被证明是复杂的。强烈建议需要放射性数据,但是,沿着水库单元的不同程度的枯竭对数据的获取构成了明显的威胁。本研究旨在建立一种先进的模型,在不影响地层评价质量的情况下,使用非放射性BHI方法计算孔隙度和渗透率。在进行这项研究时,面临着数据采集有限的挑战,包括整个碳酸盐地层的压力行为,以及需要了解渗透率干扰的性质。该试验覆盖了两口井,其中a井对于分析数据的来源最有用。从由相同数据集组成的Well-B中获得了缺失信息。整个解释BHI剖面的电阻率成像数据质量良好。对BHI数据进行了分析,包括裂缝解释、孔隙度预测(微裂缝、粒内孔隙和流体包裹体)和渗透率分布(裂缝孔径分析)。在此基础上,预测的孔隙度和渗透率与岩心和密度-中子数据具有良好的相关性。净产层识别和孔隙度计算结果与密度-中子测井结果一致。在整个储层中发现了高裂缝带,这解释了渗透率的扰动。天然裂缝往往在整个井眼中呈簇状分布。利用井眼电成像对导电性裂缝进行解释,估算井筒周围张开裂缝的电孔径。整个储层的压力行为可能与天然裂缝网络(导电和非导电裂缝)有关。在开发方面,该研究有助于更好地了解与不同渗透率簇相关的岩石类型和岩性,以及与生产行为相结合的储层质量。开发的BHI评价方法为孔隙度和渗透率评价提供了可靠的结果。该模型综合相关学科,通过独立的岩性方法对盐内夹层白云岩和灰岩混合环境进行评价,消除基质非均质性的影响。此外,BHI方法提供了更安全的测井采集和更好的高级天然裂缝分析选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advanced Porosity and Permeability Analyses Based on BHI Approach
Carbonate intrasalt stringers formation evaluation proved to be complex due to the nature of the rock lithology through syndolomitization and postdolomitization process. The need for the radioactive data is highly recommended, however different degrees of depletion along the reservoir units are posing clear threat to data acquisition. This study aims to establish an advanced model of calculating the porosity and permeability using non-radioactive BHI approach without compromising with the quality of the formation evaluation. This study was conducted while facing the challenge of limited data acquisition with the pressure behavior across the carbonates stringers and the need to understand the nature of the permeability disturbance. The pilot covers two wells, Well-A was most useful regarding the source of the data for the analyses. Missing information was obtained from Well-B, which consist of the same dataset. The resistivity image data quality throughout the interpreted BHI section was good. Several analyses were carried out to characterise BHI data including fractures interpretation, porosity prediction (microfractures, intragranular pores and fluid inclusions) and permeability distribution (fracture aperture analysis). Based on this study, the following observations are obtained, the predicted porosity and permeability are well correlated with the core and density – neutron data. The net pay identification and porosity calculation is consistent with those derived from density-neutron logs. Highly fracture zones were detected across the reservoir, which explain the permeability disturbance. Natural fracture tends to be found in clusters throughout the borehole. Conductive fracture, which has direct influence to the permeability were interpreted using the electrical borehole image to estimate the electrical apertures of open fractures around the wells. Pressure behavior across the reservoir might be linked to the natural fracture networks (conductive and non-conductive fractures). In the development side, this study helps to have better understanding of the rock typing and Lithotypes associated with different permeability clusters and reservoir quality integrated with production behavior. The developed methodology of BHI evaluation provides reliable results in Porosity and Permeability evaluation. The model integrates relevant disciplines to evaluate intrasalt stringers dolomite and limestone mixed environment through independent lithology approach to eliminate the effect of the matrix heterogeneity. In addition, BHI approach provides safer logging acquisition and better option for advanced natural fracture analysis.
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