Source potential and reservoir characterization of the Cambay Shale, Cambay Basin, India: Implications for tight gas and tight oil resource development

Mateen Hafiz; Naveen Hakhoo; Ghulam M. Bhat; Sudeep Kanungo; Bindra Thusu; Jonathan Craig; Waquar Ahmed

doi:10.1306/03162017174

Source potential and reservoir characterization of the Cambay Shale, Cambay Basin, India: Implications for tight gas and tight oil resource development

AAPG Bulletin ◽

10.1306/03162017174 ◽

2020 ◽

Vol 104 (8) ◽

pp. 1707-1749 ◽

Cited By ~ 1

Author(s):

Mateen Hafiz ◽

Naveen Hakhoo ◽

Ghulam M. Bhat ◽

Sudeep Kanungo ◽

Bindra Thusu ◽

...

Keyword(s):

Reservoir Characterization ◽

Resource Development ◽

Tight Oil ◽

Tight Gas ◽

Cambay Basin ◽

Cambay Shale

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Reservoir Characterization of Tight Gas Sand: Taylor Sandstone (Upper Cotton Valley Group, Upper Jurassic), Rusk County, Texas: ABSTRACT

AAPG Bulletin ◽

10.1306/44b49f1a-170a-11d7-8645000102c1865d ◽

1989 ◽

Vol 73 ◽

Author(s):

C. L. Vavra, M. H. Scheihing, J. D.

Keyword(s):

Reservoir Characterization ◽

Upper Jurassic ◽

Tight Gas ◽

Cotton Valley

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Geophysical Aspects of Reservoir Characterization of Tight Gas Play in the Dnieper-Donets Basin

10.2118/208501-ms ◽

2021 ◽

Author(s):

Rustem Valiakhmetov ◽

Andrea Murineddu ◽

Murat Zhiyenkulov ◽

Viktor Maliar ◽

Viktor Bugriy ◽

...

Keyword(s):

Data Processing ◽

Seismic Data ◽

Reservoir Characterization ◽

Seismic Attributes ◽

Static Model ◽

Donets Basin ◽

Tight Gas ◽

Seismic Data Processing ◽

Exploration Well

Abstract The objective of this work is to describe a comprehensive approach integrating seismic data processing and sets of wireline logs for reservoir characterization of one of the tight gas plays of the Dnieper-Donets basin. This paper intends to discuss a case study from seismic data processing, integrating seismic attributes with formation properties from logs in a geocellular model for sweet spot selection and risk analysis. The workflow during the project included the following steps.Seismic data 3D processing, including 5D interpolation and PSTM migration.Interpretation of limited log data from 4 exploration and appraisal wells.Seismic interpretation and inversion.Building a static model of the field.Recommendations for drilling locations.Evaluation of the drilled well to verify input parameters of the initial model. The static model integrated all available subsurface data and used inverted seismic attributes calibrated to the available logs to constrain the property modelling. Then various deterministic and stochastic approaches were used for facies modeling and estimation of gas-in-place volume. Integrating all the available data provides insights for better understating the reservoir distribution and provided recommendations for drilling locations. Based on the combination of the geocellular model, seismic attributes and seismic inversion results, the operator drilled an exploration well. The modern set of petrophysical logs acquired in the recently drilled well enforced prior knowledge and delivered a robust picture of the tight gas reservoir. The results from the drilled well matched predicted formation properties very closely, which added confidence in the technical approach applied in this study and similar studies that followed later. It is the fork in the road moment for the Dnieper-Donetsk basin with huge tight gas potential in the region that inspires for exploration of other prospects and plays. A synergy of analytical methods with a combination of seismic processing, geomodeling, and reservoir characterization approaches allowed accurate selection of the drilling targets with minimum risk of "dry hole" that has been vindicated by successful drilling outcome in a new exploration well.

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