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ASEG Extended Abstracts
RESEARCH ARTICLE

Integrated Seismic (IS) for Shale Gas Exploration and Management

Shastri L Nimmagadda, Paola Andrea Cardona Mora and Said Hanafy

ASEG Extended Abstracts 2018(1) 1 - 8
Published: 2018

Abstract

Seismic integration has been a successful accessory in every data interpretation project. For shale gas exploration design, development and implementation, high-resolution seismic data are necessitated. In this context, every exploration project needs multi-disciplinary datasets and their integration that can minimize the ambiguity of the interpretative outcomes. What are the integrated solutions for imaging and interpreting shale gas and how do they impact our shale prospect business? How do we organize and standardize our integrated workflows to address issues of exploration, field development, including drilling campaigns of the unconventional reservoirs? So far, the conventional reservoirs of many worldwide basins did produce even without integrated workflows. With the increase in intricacy in structural and stratigraphic settings, in particular with the fractured shale environments, exploration and field development plans have become multifaceted, complicating the field operations. How do we take on the exploration, development and drilling campaign decisions using the integrated seismic solutions? How do we suggest the “integrated solutions” to our valued operators and service providers? Why are the conventional technologies failures and setbacks? How can we guide and recommend the petroleum companies on appropriate technologies and the reserve computations in shale environments? We come up with an “Integrated Seismic” (IS) strategy, addressing the issues and challenges. The applicability and feasibility of IS in various exploration projects including their execution and implementation in worldwide shale gas basins are discussed. IS has been playing a vital role, making huge impacts on the integrated interpretation projects, especially during prospect identification and risk evaluation stages.

https://doi.org/10.1071/ASEG2018abT4_1C

© ASEG 2018

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