Formation and diagenetic characteristics of tight sandstones in closed to semi-closed systems: Typical example from the Permian Sulige gas field

Wu, Heyuan; Zhao, Junping; Wu, Wenzhuo; Li, Jun; Huang, Yanzao; Chen, Mengna

doi:10.1016/j.petrol.2020.108248

Cited by 22 publications

(8 citation statements)

References 20 publications

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“…For fluid identification of tight sandstone reservoirs, it is necessary to first select the logging parameters of special areas in the reservoir and take this parameter as a standard [27]. Subsequently, by highlighting specific parameters in distinct areas, the reservoir characteristics become discernible and the influence of extraneous elements such as the rock skeleton can be minimized [28,29].…”

Section: Research On Evaluation Methods Of Logging Interpretationmentioning

confidence: 99%

Modeling of Quantitative Characterization Parameters and Identification of Fluid Properties in Tight Sandstone Reservoirs of the Ordos Basin

Xu,

Wang,

Song

et al. 2024

Processes

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The Ordos Basin has abundant resources in its tight sandstone reservoirs, and the use of well logging technology stands out as a critical element in the exploration and development of these reservoirs. Unlike conventional reservoirs, the commonly used interpretation models are not ideal for evaluating tight sandstone reservoirs through logging. In order to accurately evaluate parameters and identify fluid properties in the tight sandstone reservoirs of the Ordos Basin, we propose the adaption of conventional logging curves. This involves establishing an interpretation model that integrates the response characteristics of logging curves to tight sandstone reservoirs in accordance with the principles of logging. In this approach, we create interpretation models specifically for shale content, porosity, permeability, and saturation within the tight sandstone reservoir. Using the characteristics of the logging curves and their responses, we apply a mathematical relationship to link these parameters and create a template for identifying fluid properties within tight sandstone reservoirs. The average absolute errors of the new multi-parameter weighting method shale content interpretation model and porosity classification saturation interpretation model for quantitative evaluation of reservoir shale content and oil saturation are small, and the accuracy meets the production requirements. In this paper, the four-step method is used to identify the fluid properties of tight sandstone reservoirs step by step, which is to use the interrelationship between curves, eliminate the useless information, enhance the useful information, and finally solve the problem of identifying the fluid properties of tight sandstone reservoirs, which is difficult to identify, and realize the linear discrimination of the interpretation standard, which improves the accuracy of interpretation. The proven multi-information, four-step, step-by-step fluid property identification template has an accuracy of more than 90%. The interpretation model has been applied to 20 wells on the block with a compliance rate of 95.23%, providing the basis for accurately establishing the tight sandstone interpretation standard. The newly introduced log evaluation approach for tight sandstone reservoirs effectively overcomes the technical hurdles that have previously hindered the evaluation of such reservoirs in the Ordos Basin. This method is suitable for wide application and can be used for quantitative evaluation of tight sandstone reservoirs in different regions.

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Section: Research On Evaluation Methods Of Logging Interpretationmentioning

confidence: 99%

Modeling of Quantitative Characterization Parameters and Identification of Fluid Properties in Tight Sandstone Reservoirs of the Ordos Basin

Xu,

Wang,

Song

et al. 2024

Processes

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“…A considerable amount of research has been conducted on the sedimentation, tectonics, and formation of the Ordos Basin. Briefly, the Ordos Basin is located in the center of China and is China’s second-largest sedimentary basin, which contains a significant volume of oil and gas resources. , Based on the tectonic morphology and evolutionary history of the basin, it can be divided into six primary tectonic units: the Yimeng Uplift, the Yishan Slope, the Tianhuan Depression, the Weibei Slope, the Jinxi Flexural Belt, and the Western Margin Thrusting Belt. − …”

Section: Geological Settingmentioning

confidence: 99%

Distribution and Main Controlling Factors of Gas and Water in Tight Sandstone Gas Fields: A Case Study of Sudong 41-33 Block in Sulige Gas Field, Ordos Basin, China

Xu,

Jia,

Huang

et al. 2024

ACS Omega

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Studying the gas−water distribution characteristics is essential in guiding the efficient development of gas fields. The relationship between gas and water in the Sudong 41-33 Block is complicated and has not been adequately researched. In recent years, gas wells have suffered from increased water/gas ratios and significant liquid loadings, which greatly affect the development of the block. A comprehensive analysis of formation water, log interpretation, and production data was conducted to determine the gas−water distribution characteristics and main controlling factors in the Sudong 41-33 Block. The findings indicate the following. (1) The formation water in the study area consists mainly of CaCl 2 brine with high total dissolved solids (TDS) (with an average value of 36.06 g/L). The hydrochemical characteristics indicate that the formation water is typical sedimentary buried water under well-sealing conditions, which is markedly different from shallow river water and seawater. (2) The formation water can be categorized into three types: edge−bottom water under the gas layer (Type I), stagnant water in tight sandstone (Type II), and isolated lenticular water (Type III). The water layer distribution in the plane is mainly concentrated in the northwest region, whereas it is dispersed in other regions. On the vertical, the water layer mainly appears in P 2 x 8−1 , P 2 x 8−2 , and P 1 s 2 Members. (3) The physical properties of the reservoir, hydrocarbon generation intensity (HGI), source rock−reservoir relationship, and mini-structure are the main factors affecting the gas−water distribution in the study area. Based on the clarification of the characteristics of gas and water distribution and its main controlling factors, it is of great importance to accurately identify the water layer, avoid the direct development of the water layer, adopt the proper production pressure differential, and carry out drainage gas production measures in time to ensure the effective development of the gas field.

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“…1. Map of Sulige gas field in the Ordos Basin and sedimentary strata in the Shihezi Formation (Wu et al, 2021;. P 2 h 8 , from top to bottom).…”

Section: Lvliang Mountainmentioning

confidence: 99%

Dynamic mechanisms of tight gas accumulation and numerical simulation methods: Narrowing the gap between theory and field application

Zhao

Jia

Song

et al. 2023

Adv. Geo-Energy Res.

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Formation and diagenetic characteristics of tight sandstones in closed to semi-closed systems: Typical example from the Permian Sulige gas field

Cited by 22 publications

References 20 publications

Modeling of Quantitative Characterization Parameters and Identification of Fluid Properties in Tight Sandstone Reservoirs of the Ordos Basin

Modeling of Quantitative Characterization Parameters and Identification of Fluid Properties in Tight Sandstone Reservoirs of the Ordos Basin

Distribution and Main Controlling Factors of Gas and Water in Tight Sandstone Gas Fields: A Case Study of Sudong 41-33 Block in Sulige Gas Field, Ordos Basin, China

Dynamic mechanisms of tight gas accumulation and numerical simulation methods: Narrowing the gap between theory and field application

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