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Houston, TX, United States

NEOS GeoSolutions is a geoscience services company that services exploration teams in the onshore oil & gas and mining industries. The company acquires and simultaneously interprets multiple geological, geophysical, and geochemical datasets to identify hydrocarbons and minerals in the subsurface. NEOS is privately held and headquartered in Houston, Texas. Wikipedia.

Hollis J.,NEOS GeoSolutions
Hart's E and P | Year: 2011

Many operating companies have realized that combining a variety of geophysical measurements enables them to gather significant information about the oil and gas exploration sites. Companies have gained prominence in the exploration services area by offering subsurface imaging technologies that provide better information than seismic measurement techniques. ARKeX is one such company that offers advanced gravity gradiometry surveys to better image complex geological settings, such as subsalt or to fill in the areas between sparse 2-D or 3-D seismic surveys. Companies, such as EMGS and OHM Rock Solid Images offer electromagnetic EM) surveys to better delineate fluid saturation anomalies in the subsurface areas. NEOS GeoSolutions from Houston, US is another company, which simultaneously interprets many geological, geophysical, and geochemical datasets, including datasets that are accessible in the public domain.

Schnetzler E.T.,NEOS GeoSolutions
Proceedings of the Annual Offshore Technology Conference | Year: 2015

A probabilistic workflow is presented on a real field to study both local and global uncertainty of in-place hydrocarbon volumes. Different products are generated, designed to help with specific questions and decisions. A picture of the global uncertainty helps drive large scale decisions such as selling or retaining a lease. The local uncertainty view relates to questions of well drilling and planning. Finally, looking at the contributions of each source of uncertainty helps decide what additional data to collect in order to reduce the global uncertainty. Copyright © (2015) by the Offshore Technology Conference All rights reserved.

Ray A.,University of California at San Diego | Alumbaugh D.L.,Chevron | Alumbaugh D.L.,NEOS GeoSolutions | Hoversten G.M.,Chevron | Key K.,University of California at San Diego
Geophysics | Year: 2013

Bayesian methods can quantify the model uncertainty that is inherent in inversion of highly nonlinear geophysical problems. In this approach, a model likelihood function based on knowledge of the data noise statistics is used to sample the posterior model distribution, which conveys information on the resolvability of the model parameters. Because these distributions are multidimensional and nonlinear, we used Markov chain Monte Carlo methods for highly efficient sampling. Because a single Markov chain can become stuck in a local probability mode, we run various randomized Markov chains independently. To some extent, this problem can be mitigated by running independent Markov chains, but unless a very large number of chains are run, biased results may be obtained. We got around these limitations by running parallel, interacting Markov chains with "annealed" or "tempered" likelihoods, which enable the whole system of chains to effectively escape local probability maxima. We tested this approach using a transdimensional algorithm, where the number of model parameters as well as the parameters themselves were treated as unknowns during the inversion. This gave us a measure of uncertainty that was independent of any particular parameterization. We then subset the ensemble of inversion models to either reduce uncertainty based on a priori constraints or to examine the probability of various geologic scenarios. We demonstrated our algorithms' fast convergence to the posterior model distribution with a synthetic 1D marine controlled-source electromagnetic data example. The speed up gained from this new approach will facilitate the practical implementation of future 2D and 3D Bayesian inversions, where the cost of each forward evaluation is significantly more expensive than for the 1D case. © 2013 Society of Exploration Geophysicists.

NEOS GeoSolutions | Entity website

About Us NEOS is an exploration solutions provider to energy ministries and natural resource firms involved in oil & gas, minerals and groundwater extraction. The company is a leader in the emerging field of multi-measurement subsurface interpretation ...

NEOS GeoSolutions | Entity website

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