MOUNTAIN VIEW, Calif. -- Limit Point Systems Inc. and MBA Sciences announced an alliance establishing both parties' intent to help customers in the oil and gas industry leverage parallel computing for exploration and production workflows. The alliance will provide workflow solutions that take advantage of both companies' product portfolios.
In the oil and gas industry, numerical modeling, which combines multiple measurement sources such as seismic and well data with various types of numerical simulation, can be used to create revealing images of the geological structure of the earth's subsurface. Integrating these diverse sources into a coherent picture requires computation-intensive transformations of the data representing physical properties between different geometrical and numerical approximations. The alliance's aligned offerings will be designed to exploit the performance of multi-core servers & GPU parallel processing, allowing these critical transformations to be done in a fraction of the time with more accurate results.
“Our customers are looking to leverage heterogeneous computing resources spanning servers, cores and GPUs. We can build on our current success and achieve greater efficiencies from this alliance,” said Dr. David M. Butler, CEO of Limit Point Systems. “By combining Limit Point's expertise in representing and mapping meshes with MBA Sciences’ heterogeneous parallel processing, we can increase the speed and accuracy of creating the numerical models used by geoscientists to find the most likely places to drill for oil and gas.”
"The sheaf technology that Limit Point Systems has pioneered is the simplicity on the far side of complexity with its data representation and management tools that support scalar, vector and tensor operations on complex 3D topology. Because of the enormous volumes of numerical data generated by oil and gas exploration and production, the speed and accuracy of these models is directly related to the amount of compute power that is available. Through the alliance, we can accelerate critical compute-intensive parts of the energy production workflow," said Dr. Minesh B. Amin, founder and CEO of MBA Sciences.
