A Two-Step Method for Prediction of Fractured Tight Sandstone Reservoir in Northeast Sichuan Basin

2021 ◽  
Author(s):  
K. Qian ◽  
D. Guo ◽  
X. Xiang ◽  
Y. Qiao
Keyword(s):  
Sichuan Basin ◽  
Step Method ◽  
Tight Sandstone ◽  
Northeast Sichuan Basin ◽  
Sandstone Reservoir

Prediction of a low tight sandstone reservoir in the Majing gas field, Sichuan Basin, China

2004 ◽  
Vol 1 (3) ◽  
pp. 228-233
Author(s):  
Congjun Li ◽  
Xiaopeng Zhang ◽  
Shaonan Zhang
Keyword(s):  
Sichuan Basin ◽  
Tight Sandstone ◽  
Gas Field ◽  
Sandstone Reservoir

Origin and distribution of an under-pressured tight sandstone reservoir: The Shaximiao Formation, Central Sichuan Basin

2021 ◽  
pp. 105208
Author(s):  
Qiaochu Wang ◽  
Dongxia Chen ◽  
Fuwei Wang ◽  
Xianzhi Gao ◽  
Yi Zou ◽  
...  
Keyword(s):  
Sichuan Basin ◽  
Tight Sandstone ◽  
Sandstone Reservoir ◽  
Central Sichuan Basin

scholarly journals A reservoir quality evaluation approach for tight sandstone reservoirs based on the gray correlation algorithm: A case study of the Chang 6 layer in the W area of the as oilfield, Ordos Basin

2021 ◽  
pp. 014459872199851
Author(s):  
Yuyang Liu ◽  
Xiaowei Zhang ◽  
Junfeng Shi ◽  
Wei Guo ◽  
Lixia Kang ◽  
...  
Keyword(s):  
Quality Evaluation ◽  
Comprehensive Evaluation ◽  
Ordos Basin ◽  
Reservoir Quality ◽  
Pore Throat ◽  
Tight Sandstone ◽  
Evaluation Approach ◽  
Correlation Algorithm ◽  
Gray Correlation ◽  
Sandstone Reservoir

As an important type of unconventional hydrocarbon, tight sandstone oil has great present and future resource potential. Reservoir quality evaluation is the basis of tight sandstone oil development. A comprehensive evaluation approach based on the gray correlation algorithm is established to effectively assess tight sandstone reservoir quality. Seven tight sandstone samples from the Chang 6 reservoir in the W area of the AS oilfield in the Ordos Basin are employed. First, the petrological and physical characteristics of the study area reservoir are briefly discussed through thin section observations, electron microscopy analysis, core physical property tests, and whole-rock and clay mineral content experiments. Second, the pore type, throat type and pore and throat combination characteristics are described from casting thin sections and scanning electron microscopy. Third, high-pressure mercury injection and nitrogen adsorption experiments are optimized to evaluate the characteristic parameters of pore throat distribution, micro- and nanopore throat frequency, permeability contribution and volume continuous distribution characteristics to quantitatively characterize the reservoir micro- and nanopores and throats. Then, the effective pore throat frequency specific gravity parameter of movable oil and the irreducible oil pore throat volume specific gravity parameter are introduced and combined with the reservoir physical properties, multipoint Brunauer-Emmett-Teller (BET) specific surface area, displacement pressure, maximum mercury saturation and mercury withdrawal efficiency parameters as the basic parameters for evaluation of tight sandstone reservoir quality. Finally, the weight coefficient of each parameter is calculated by the gray correlation method, and a reservoir comprehensive evaluation indicator (RCEI) is designed. The results show that the study area is dominated by types II and III tight sandstone reservoirs. In addition, the research method in this paper can be further extended to the evaluation of shale gas and other unconventional reservoirs after appropriate modification.

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