基于成岩过程碎屑岩储层数值模拟技术

—以渤海湾盆地渤中坳陷Ed1碎屑砂岩储层为例

Advances in Geo-Energy Research, 2019, 3(1): 82-93

原文网址: http://www.astp-agr.com/index.php/Index/Index/detail?id=102

      地震勘探技术是储层预测中最有效的手段之一，但对于深层、超深层储层以及薄层储层而言，直接利用地震资料难以准确识别储层信息。成岩作用是一切储层形成的必经过程，最终决定油气储层物性。本研究通过模拟沉积物转变为沉积岩所发生的一系列变化，对碎屑岩储层进行预测，其关键在于构建成岩作用数学模型，其中包括矿物溶解模型、矿物胶结模型和沉积物压实模型，强调以过程恢复为主导的动态定量研究思想，综合考虑了沉积、成岩作用。以渤海湾盆地渤中坳陷古近系东营组一段（Ed1）碎屑砂岩为例，说明了该方法的有效性。研究区储层处于早成岩阶段B期。

A new method for clastic reservoir prediction based on numerical simulation of diagenesis: A case study of the Ed1 clastic sandstones in the Bozhong depression, Bohai Bay Basin, China

Wendao Qian, Taiju Yin, Guowei Hou

(Published: 2018-12-19)

CorrespondingAuthor and Email:  

Taiju Yin, yintaij@yangtzeu.edu.cn; ORCID: https://orcid.org/0000-0002-9868-1507

Citation: Qian, W., Yin, T., Hou, G. A new method for clastic reservoir prediction based on numerical simulation of diagenesis: A case study of Ed1 sandstones in Bozhong depression, Bohai Bay Basin, China. Advances in Geo-Energy Research, 2019, 3(1): 82-93, doi: 10.26804/ager.2019.01.07.

ArticleType: Original article

Abstract：

       The use of seismic exploration technique to provide reliable reservoir information is a conventional method. However, due to its quality and resolution reasons, it cannot satisfy the detailed research and characterization of reservoirs, especially the clastic reservoir with thin sand body. Diagenesis is a fundamental process in the development and formation of all petroleum reservoirs and is a major contributor to their ultimate physical properties. Based on numerical simulation of diagenesis, a new prediction method called Geology Prediction Techniques (GPT) is presented to simulate the evolution of the diagenetic stages, diagenetic facies and porosity of clastic reservoirs and ultimately for favorable reservoir prediction. It emphasizes the idea of dynamic quantitative research dominated by process recovery, the most important of which is the establishment of mathematical models, including mineral dissolution models, mineral cementation models and sediment compaction models using the experimental data in study area and the results of previous studies. The essence of this method is illustrated, and its effectiveness is proved using Ed1 clastic sandstones in the Bozhong depression, Bohai Bay Basin, China. At present, the reservoir is in the early diagenetic stage B (ⅠB) and the middle diagenetic stage A1(ⅡA1).The major diagenetic processes that influence the porosity of the sandstones in study area are mechanical compaction, carbonate cementation, quartz cementation, clay cementation, feldspar dissolution and carbonate dissolution. There are three types of sandstones including fine sandstone, siltstone, and argillaceous siltstone, and the variation range of primary porosity of these sandstones is from 26% to 38%. Compaction and carbonate cementation are the main reasons for porosity reduction, with porosity loss percentage by compaction (P-Com) and porosity loss percentage by cementation of carbonate (P-C-Car) being 53.1%～27.8% (av. 41.9%) and 53.1%～27.8% (av. 18%), respectively, while carbonate dissolution and feldspar dissolution can greatly improve reservoir physical property, with porosity increase percentage by dissolution of carbonate (P-D-Car) and porosity increase percentage by dissolution of feldspar (P-D-Fel) being 0～59.9% (av. 8.9%) and 0～27.8% (av. 9.4%), respectively. The predicted porosities match the measured porosities well.

Keywords: Clastic reservoir; diagenetic simulation; diagenetic stages; diagenetic facies; porosity

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