Improved Rock-Physics Model for Shale Gas Reservoirs

2012 ◽  
Author(s):  
Yaping Zhu ◽  
Shiyu Xu ◽  
Michael Payne ◽  
Alex Martinez ◽  
Enru Liu ◽  
...  
Keyword(s):  
Shale Gas ◽  
Rock Physics ◽  
Gas Reservoirs ◽  
Shale Gas Reservoirs ◽  
Physics Model ◽  
Rock Physics Model

scholarly journals The construction of shale rock physics model and brittleness prediction for high-porosity shale gas-bearing reservoir

2020 ◽  
Vol 17 (3) ◽  
pp. 658-670 ◽  
Author(s):  
Xin-Peng Pan ◽  
Guang-Zhi Zhang ◽  
Jiao-Jiao Chen
Keyword(s):  
Shale Gas ◽  
Rock Physics ◽  
High Porosity ◽  
Shale Rock ◽  
Physics Model ◽  
Rock Physics Model ◽  
Gas Bearing

Anisotropy rock physics model for the Longmaxi shale gas reservoir, Sichuan Basin, China

2017 ◽  
Vol 14 (1) ◽  
pp. 21-30 ◽  
Author(s):  
Xi-Wu Liu ◽  
Zhi-Qi Guo ◽  
Cai Liu ◽  
Yu-Wei Liu
Keyword(s):  
Shale Gas ◽  
Sichuan Basin ◽  
Rock Physics ◽  
Gas Reservoir ◽  
Shale Gas Reservoir ◽  
Longmaxi Shale ◽  
Physics Model ◽  
Rock Physics Model

PERFORMANCE ANALYSIS OF MULTI-FRACTURED HORIZONTAL WELLS WITH COMPLEX FRACTURE NETWORKS IN SHALE GAS RESERVOIRS

2019 ◽  
Vol 22 (3) ◽  
pp. 299-320 ◽  
Author(s):  
Guanglong Sheng ◽  
Ting Xu ◽  
Feifei Gou ◽  
Yuliang Su ◽  
Wendong Wang ◽  
...  
Keyword(s):  
Performance Analysis ◽  
Shale Gas ◽  
Horizontal Wells ◽  
Fracture Networks ◽  
Gas Reservoirs ◽  
Complex Fracture ◽  
Shale Gas Reservoirs ◽  
Fractured Horizontal Wells

Uncertainty Assessment of Production Performance for Shale-Gas Reservoirs

2013 ◽  
Author(s):  
Jiang Xie ◽  
Seong H. Lee ◽  
Zhiming Wang ◽  
Xian-Huan Wen
Keyword(s):  
Shale Gas ◽  
Uncertainty Assessment ◽  
Production Performance ◽  
Gas Reservoirs ◽  
Shale Gas Reservoirs

Geomechanical Characterisation and Modelling Help to Unlock Shale Gas Reservoirs in the Southern Sichuan Basin

2013 ◽  
Author(s):  
Roger Yuan ◽  
Fa Dwan ◽  
Navpreet Singh ◽  
Liang Jin ◽  
Danny Soo ◽  
...  
Keyword(s):  
Shale Gas ◽  
Sichuan Basin ◽  
Gas Reservoirs ◽  
Shale Gas Reservoirs

Comparison of Marine and Continental Shale Gas Reservoirs and Their Gas-Bearing Properties in China: The Examples of the Longmaxi and Shahezi Shales

2021 ◽  
Author(s):  
Dianshi Xiao ◽  
Shuangfang Lu ◽  
Mingli Shao ◽  
Nengwu Zhou ◽  
Renwen Zhao ◽  
...  
Keyword(s):  
Shale Gas ◽  
Gas Reservoirs ◽  
Shale Gas Reservoirs ◽  
Gas Bearing

scholarly journals Prediction of Shale Gas Reservoirs Using Fluid Mobility Attribute Driven by Post-Stack Seismic Data: A Case Study from Southern China

2020 ◽  
Vol 11 (1) ◽  
pp. 219
Author(s):  
Jing Zeng ◽  
Alexey Stovas ◽  
Handong Huang ◽  
Lixia Ren ◽  
Tianlei Tang
Keyword(s):  
Shale Gas ◽  
Seismic Data ◽  
Spectral Decomposition ◽  
Southern China ◽  
Gas Reservoirs ◽  
Seismic Attribute ◽  
Longmaxi Formation ◽  
Shale Gas Reservoirs ◽  
The Sichuan Basin ◽  
Shale Reservoirs

Paleozoic marine shale gas resources in Southern China present broad prospects for exploration and development. However, previous research has mostly focused on the shale in the Sichuan Basin. The research target of this study is expanded to the Lower Silurian Longmaxi shale outside the Sichuan Basin. A prediction scheme of shale gas reservoirs through the frequency-dependent seismic attribute technology is developed to reduce drilling risks of shale gas related to complex geological structure and low exploration level. Extracting frequency-dependent seismic attribute is inseparable from spectral decomposition technology, whereby the matching pursuit algorithm is commonly used. However, frequency interference in MP results in an erroneous time-frequency (TF) spectrum and affects the accuracy of seismic attribute. Firstly, a novel spectral decomposition technology is proposed to minimize the effect of frequency interference by integrating the MP and the ensemble empirical mode decomposition (EEMD). Synthetic and real data tests indicate that the proposed spectral decomposition technology provides a TF spectrum with higher accuracy and resolution than traditional MP. Then, a seismic fluid mobility attribute, extracted from the post-stack seismic data through the proposed spectral decomposition technology, is applied to characterize the shale reservoirs. The application result indicates that the seismic fluid mobility attribute can describe the spatial distribution of shale gas reservoirs well without well control. Based on the seismic fluid mobility attribute section, we have learned that the shale gas enrich areas are located near the bottom of the Longmaxi Formation. The inverted velocity data are also introduced to further verify the reliability of seismic fluid mobility. Finally, the thickness map of gas-bearing shale reservoirs in the Longmaxi Formation is obtained by combining the seismic fluid mobility attribute with the inverted velocity data, and two favorable exploration areas are suggested by analyzing the thickness, structure, and burial depth. The present work can not only be used to evaluate shale gas resources in the early stage of exploration, but also help to design the landing point and trajectory of directional drilling in the development stage.

Multidisciplinary Approach for Detailed Characterization of Shale Gas Reservoirs: A Netherlands Showcase

2013 ◽  
Author(s):  
Yvonne Anja Schavemaker ◽  
Mart Zijp ◽  
Jan ter Heege ◽  
Susanne Nelskamp ◽  
Johan Ten Veen
Keyword(s):  
Shale Gas ◽  
Multidisciplinary Approach ◽  
Gas Reservoirs ◽  
Detailed Characterization ◽  
Shale Gas Reservoirs
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