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Publishing Language: Chinese

Method for constructing a reservoir architectural parameter database based on literature data collection and its practical application: A case study of braided river reservoirs

Shuailin ZHANG1Yuangang LIU1( )Shaohua LI1,2Jinbiao YU3Jinghua SHI3Changmin ZHANG1,2
School of Geosciences, Yangtze University, Wuhan 430100, China
Key Laboratory of Exploration Technologies for Oil and Gas Resources of Ministry of Education, Yangtze University, Wuhan 430100, China
Shengli Oilfield Company of SINOPEC, Dongying 257000, China
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Abstract

A reservoir architectural parameter database (RAPDB) is an essential component of the reservoir geological knowledge base, providing critical quantitative constraint parameters for reservoir geological studies and reservoir geological modeling. However, due to the lack of uniformity in terminology and classification systems within the field, the differences in the scale of research focus between domestic and international scholars, and the scattered nature of literature data, constructing a unified and comprehensive reservoir architectural parameter database faces numerous challenges. This paper proposes a method for constructing a reservoir architectural parameter database based on literature data extraction and uses braided river reservoirs as a case study to construct such a database. First, a standardized classification and grading system for braided river reservoirs was designed, and a unified data structure was established to support the integration and analysis of multi-source data. Subsequently, the WebPlotDigitizer tool was employed to extract data from static figures and tables in professional literature, successfully building a braided river reservoir architectural parameter database consisting of 2,589 architectural elements. This parameter database not only includes the scale of various architectural elements such as braided belts, braided channels, bars, vertical accumulation bodies, and overbank deposits, but also provides relevant geological background information. Through this database, this paper conducts a detailed statistical analysis of the geometric characteristics of reservoir architectural elements in braided river reservoirs. The results indicate that: (1) Adopting a unified classification and grading scheme for braided river deposits and specifying the table structure of the reservoir architectural parameter database allows for the integration of data from different sources, enabling comparative analysis of geometric parameters of reservoir architectural elements from various geological backgrounds, and achieving centralized management and application of the braided river reservoir architectural parameter database; (2) The literature data extraction method using the WebPlotDigitizer tool can digitize static figures and tables in professional literature, providing a rich data source for building the RAPDB; (3) Literature-based data extraction has limitations of incomplete information and inconsistent information structure. Therefore, it is necessary to establish a unified standard RAPDB and its information sharing service system to meet the needs of reservoir geological studies and modeling, addressing issues such as semantic heterogeneity of geological knowledge, diverse sources, varied structures, and large spatiotemporal scale spans. This study not only provides a data foundation and technical means for analogous research on the geometric characteristics of braided river reservoir architecture but also offers a reference for the construction of architectural parameter databases for other types of reservoirs, such as deltas and meandering rivers.

CLC number: P618.13;TE122

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Petroleum Science Bulletin
Pages 885-898

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Cite this article:
ZHANG S, LIU Y, LI S, et al. Method for constructing a reservoir architectural parameter database based on literature data collection and its practical application: A case study of braided river reservoirs. Petroleum Science Bulletin, 2024, 9(6): 885-898. https://doi.org/10.3969/j.issn.2096-1693.2024.06.068

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Received: 18 July 2024
Revised: 25 October 2024
Published: 01 December 2024
© 2024 Petroleum Science Bulletin