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Speaker: Vishnu Pandey, CGG 

Unconventional reservoirs cannot be characterized by relying on the juxtaposition of single-attribute analysis. To understand their complexity, many correlated static and dynamic reservoir properties need to be carefully and quantitatively analyzed as part of integrated multidisciplinary studies. The goal of quantitative interpretation is to predict reservoir properties away from control points in order to improve vertical and lateral well placement to maximize stimulated reservoir volume (SRV) and productivity. The dense lateral spacing of three-dimensional (3D) seismic lends itself to estimating reservoir properties in 3D. Therefore, prediction of elastic attributes from seismic amplitude away from wells is common practice. However, transforming these elastic properties into geomechanical and other reservoir properties requires integration of multiple data sets (e.g., wireline logs, core, and cuttings) at various scales. Integration of all of this information is essential for de-risking seismic amplitude-supported interpretations. This presentation describes the approach and the methods used to predict geomechanical properties in 3D space, away from well control. The computed geomechanical volumes (pore pressure (Pp), fracture pressure (Fp), and minimum horizontal stress (SHmin)) were used to pick intermediate casing points (IPCs) and to predict recommended maximum and minimum mud weights, both of which provided significant capital savings in casing design and/or lost bottom hole assemblies (BHAs).

Speaker Biography: Vishnu Pandey, CGG
Vishnu Pandey is working as a Senior Geophysicist at CGG in the Geoscience-Reservoir Americas Group. He graduated in Master of Technology in Applied Geophysics from Indian Institute of Technology, Roorkee, India. He has more than 17 years of research and industry experience in seismic reservoir characterization, quantitative interpretation, seismology, geophysical inversion, and data analytics. He conducted research and led research projects in the premier research institutes of India. He developed new techniques and applications for seismological and other geophysical data analysis. He worked in several projects of conventional and unconventional reservoirs. He has expertise in the area of geostatistical inversion, azimuthal analysis, seismic geomechanics, and data analytics. He performed in a variety of multi-disciplinary reservoir characterization project from the Americas, Africa, Asia-Pacific, and Middle-East regions. He developed workflows and performed quality control on the technical work. He supervised and mentored junior staff and performed peer reviews and presented findings to clients, stakeholders, and internal staff. He provided consultancy and training of seismic reservoir characterization applications and workflows to the several E&P clients. He authored and co-authored several technical papers in the area of seismic reservoir characterization and geophysical data analytics.

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