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Thursday, March 5 • 11:25 - 11:45
Reservoir/Production: “Heterogeneous HPC Framework for Agile Formation Evaluation and Well Placement Workflows in High-Angle and Horizontal Wells,” Valery Polyakov, Ray Kocian, Dzevat Omeragic and Tarek Habashy, Schlumberger

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We present a heterogeneous, platform-independent high-performance computing framework as an enabling technology in formation evaluation and well placement workflows for complex 3D scenarios, such as lateral changes in dips and azimuths of layers and faults, cross-bedding, fracture orientation, etc. The modeling and inversion algorithms needed to interpret the well-log data in high-angle and horizontal (HA/HZ) wells are run on demand as a service on the Grid computing infrastructure and fully integrated with reservoir geo-models.

We show, as an example, how this HPC framework, serving as the back bone for the log simulation library of codes integrated as a Web service into a Petrel plugin, has been deployed in a giant carbonate field study with a national oil company to interpret hundreds of horizontal wells with varying extents and encompassing data from various wireline and LWD tools. This study is a part of a full field review in which static reservoir modeling was used to integrate the relevant data, spanning from core to seismic domains, into a new reservoir description. The latter will serve as a deterministic basis for reservoir history matching, infill well planning, and reservoir management optimization; the eventual goal is to increase production from the field by 25%. The reservoir model had been built using seismic and vertical well data. The results of log interpretation were in the end propagated as a change back to the pillar grid model. Petrophysicists were able to process data from more than 100 wells in less than two months, a productivity improvement of about one order of magnitude compared to conventional workflows; instead of the typical three days needed for each horizontal well analysis, three wells per day were processed.

This HPC-based approach to log modeling as-a-service is essential for new modeling and inversion-based workflows used to interpret measurements in HA/HZ wells. It is especially important for the interpretation of new-generation deep directional resistivity measurements, which are sensitive to the structure on the reservoir scale, where inversion derived structure and property information are incorporated into the geomodels. The system has proven efficiency in formation evaluation and geomodel refinement process in a field deployment. Platform-independence, dynamic expansion/contraction of the compute resources, and the ability to describe the job in a declarative fashion are key aspects of the framework.


Thursday March 5, 2015 11:25 - 11:45 CST
BioScience Research Collaborative 6500 Main Street, Houston, Tx 77005

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