Houston, TX, United States
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.

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Amaru M.,Chevron | Hoelting C.,Chevron | Ivanova N.,NEOS GeoSolutions | Osypov K.,Chevron
Leading Edge | Year: 2017

Geophysical characterization of the subsurface is an integral part of the industry's effort to decrease ambiguity during exploration, development, and production. Over several decades, advances in geophysical technology (e.g., 3D seismic, AVO, depth imaging, 4D seismic, wide/full azimuth acquisition, etc.) have allowed geophysicists to routinely produce more accurate "best technical case" images of the subsurface. Given the impressive nature of these advances, our nongeophysical colleagues might be tempted to think that geophysicists have eliminated uncertainty from our subsurface images. Nothing could be further from the truth. Most (if not all) of the time, geophysical characterization of the subsurface involves estimating solutions to ill-posed inverse problems. This ill-posedness stems from a variety of sources, including insufficient measurements and physical phenomena like seismic anisotropy. © 2017 by The Society of Exploration Geophysicists.

Hoversten G.M.,Chevron | Myer D.,Blue Green Geophysics | Key K.,Chevron | Key K.,NEOS GeoSolutions | And 3 more authors.
Geophysical Prospecting | Year: 2015

The recent use of marine electromagnetic technology for exploration geophysics has primarily focused on applying the controlled source electromagnetic method for hydrocarbon mapping. However, this technology also has potential for structural mapping applications, particularly when the relative higher frequency controlled source electromagnetic data are combined with the lower frequencies of naturally occurring magnetotelluric data. This paper reports on an extensive test using data from 84 marine controlled source electromagnetic and magnetotelluric stations for imaging volcanic sections and underlying sediments on a 128-km-long profile. The profile extends across the trough between the Faroe and Shetland Islands in the North Sea. Here, we focus on how 2.5D inversion can best recover the volcanic and sedimentary sections. A synthetic test carried out with 3D anisotropic model responses shows that vertically transverse isotropy 2.5D inversion using controlled source electromagnetic and magnetotelluric data provides the most accurate prediction of the resistivity in both volcanic and sedimentary sections. We find the 2.5D inversion works well despite moderate 3D structure in the synthetic model. Triaxial inversion using the combination of controlled source electromagnetic and magnetotelluric data provided a constant resistivity contour that most closely matched the true base of the volcanic flows. For the field survey data, triaxial inversion of controlled source electromagnetic and magnetotelluric data provides the best overall tie to well logs with vertically transverse isotropy inversion of controlled source electromagnetic and magnetotelluric data a close second. Vertical transverse isotropy inversion of controlled source electromagnetic and magnetotelluric data provided the best interpreted base of the volcanic horizon when compared with our best seismic interpretation. The structural boundaries estimated by the 20-Ω·m contour of the vertical resistivity obtained by vertical transverse isotropy inversion of controlled source electromagnetic and magnetotelluric data gives a maximum geometric location error of 11% with a mean error of 1.2% compared with the interpreted base of the volcanic horizon. Both the model study and field data interpretation indicate that marine electromagnetic technology has the potential to discriminate between low-resistivity prospective siliciclastic sediments and higher resistivity non-prospective volcaniclastic sediments beneath the volcanic section. © 2015 European Association of Geoscientists & Engineers.

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.

Velasco M.S.,NEOS GeoSolutions | Snyder H.,NEOS GeoSolutions | Schnetzler E.,NEOS GeoSolutions | Alumbaugh D.,NEOS GeoSolutions | Baber M.,NEOS GeoSolutions
Society of Petroleum Engineers - SPE/AAPG/SEG Unconventional Resources Technology Conference | Year: 2016

Many factors can influence the productivity of shale resource plays. In the Allegheny National Forest area, in Pennsylvania, the development of the Marcellus shale has increased rapidly due to the vast quantities of natural gas within this formation. Although, the reasoning behind the spatial variation of good producing wells is under heavy investigation, it is yet unclear. We believe that basin architecture is critical for the understanding of the Marcellus shale production. NEOS GeoSolutions undertook a multi-measurement, geological and geophysical study in the Allegheny National Forest area. This comprehensive interpretation involved the integration of newly acquired airborne gravity, magnetic, magneto-telluric, electromagnetic, radiometric, and hyperspectral datasets, with seismic and well data and public domain datasets. The airborne gravity and magnetic data provided an understanding of the basin architecture and structural framework from the basement to the surface. These data were integrated with well and seismic data in 2-D profiles to provide a more detailed understanding of the basin stratigraphy and structure. A 3-D inversion model was created based on the 2-D profiles. These results, combined with the magneto-telluric and electromagnetic data provided insight of the basement depth and lithological variation, and its relationship to the sedimentary basin and the production of the Marcellus shale. A high susceptibility region found at the basement level, suggesting lateral lithological variations within the basement unit, show correlation with Marcellus shale production. It is likely that areas of localized granitic intrusions agree with higher thermal gradient, higher hydrocarbon maturity, better hydrocarbon migration and areas of enhanced production. Additionally, the integration of hyperspectral and radiometric data revealed a correlation between surface hydrocarbon seeps and the presence of radioactive elements. Ultimately, we evaluated the unconventional resource potential carrying out a static uncertainty analysis of the Marcellus shale and provide quantitative risk maps. The analysis indicated that the Marcellus interval in the area contains significant natural gas resources with some liquids, with an average of 20 BCF/mi2, and as much as 40 BCF/mi2 when including adsorbed gas. This multi-measurement interpretation approach can be used in any basin and unconventional resource around the world, and cannot only help provide insights of specifics to the basin and its natural resources, but it can also be done in an environmentally friendly way and in areas were seismic data may not provide all the answers needed. Copyright 2014, Unconventional Resources Technology Conference (URTeC).

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 ...

News Article | August 17, 2015
Site: www.businesswire.com

HOUSTON--(BUSINESS WIRE)--NEOS GeoSolutions, Inc. and ION Geophysical Corporation (NYSE:IO) today announced that NEOS has acquired – for cash and other consideration – ION’s Denver land seismic data processing operation. The addition of this business line expands NEOS’s multi-physics service lines to now include seismic data processing and imaging. The rest of ION’s data processing business, including ION’s land data processing capabilities in support of its 3D ResSCANTM land programs, is unaffected by this transaction. ION’s Denver processing group has completed nearly 400 subsurface imaging projects since 2003 for customers that include some of the largest international and independent E&P companies in the world. The Denver team specializes in ‘hard rock’ processing in structurally complex geologic environments ranging from Bolivia to the North Slope of Alaska. Jim Hollis, President and CEO of NEOS, commented, “We are delighted to welcome ION’s Denver land data processing group to NEOS. During my career, I’ve had the pleasure of working with many on their team and I can’t think of a more talented group than the twenty seismic imaging professionals that will be coming over to NEOS. The addition of a seismic imaging offering to our toolkit clearly supports our strategy of offering a portfolio of best-in-class multi-physics, subsurface imaging solutions to our global customer base. We’ll now have the capability to process, integrate and simultaneously interpret both seismic and non-seismic geo-datasets to render the most complete ‘basement-to-surface’ images in the industry.” Jonathan Faiman, Executive Chairman of NEOS, added, “This is the first of what we believe will be many transactions to enhance our portfolio of natural resource exploration products, services and solutions. The near-term fall-off in capital spending in the global resources sector provides us with a unique opportunity to capture assets that support our strategy. I couldn’t be more excited about having supported Jim and his management team to make the first strategic acquisition in the history of NEOS.” Brian Hanson, President and CEO of ION, concluded by saying, “Our Denver team has made many significant contributions to ION’s data processing business over the years, as well as to our multi-client data library. Our current imaging services strategy is based on efficient centralization of computing capacity and technical expertise at our primary hubs in Houston and London, while using the latest private cloud-based portal technology and locally deployed regional geoscience experts to support our global customer base. We are pleased that agreements related to this transaction will allow ION to continue working closely with NEOS’s new Denver data processing team, as NEOS has agreed to license our data processing toolkit. I wish the team all the best of success under Jim’s leadership at NEOS, and look forward to seeing them thrive as an integral part of a new E&P solution.” NEOS helps governments, energy ministries and exploration teams in the natural resources industries make faster, more informed decisions about where to explore, lease and drill. In partnership with its clients, NEOS acquires and simultaneously interprets multiple geological, seismic, non-seismic and geochemical datasets to identify valuable resources in the subsurface, including hydrocarbons, minerals and groundwater. For more information, visit www.neosgeo.com. ION is a leading provider of technology-driven solutions to the global oil & gas industry. ION’s offerings are designed to help companies reduce risk and optimize assets throughout the E&P lifecycle. For more information, visit iongeo.com. About the Denver Seismic Data Processing Business of ION The Denver seismic data processing business had its formative roots as ‘AXIS Geophysics,’ which ION acquired in 2002 and subsequently combined with another acquired seismic imaging company – GX Technology (GXT) – in 2005. This entity – supporting a team of nearly forty scientists in peak-cycle years – has historically focused on hard-rock onshore processing. AXIS commercialized the technologies and workflows the E&P industry needed to undertake anisotropic and azimuthal processing, which subsequently found great utility in fracture detection and sweet spot imaging in tight, unconventional shale, and source-rock reservoirs. More recently, the Denver office has incorporated many of ION’s depth migration and tomographic imaging techniques into its workflows, positioning the entity as an industry leader in onshore depth imaging in complex geologic regimes, including fold- and thrust-belts such as those found in Argentina, Iraq and Kurdistan, China, Colombia, Oman, western Canada and Russia.

News Article | July 27, 2015
Site: www.businesswire.com

SAN FRANCISCO--(BUSINESS WIRE)--NEOS today announced the promising findings from a regional oil & gas prospectivity study that it completed in Lebanon. NEOS believes a frontier oil & gas province is now emerging in the country. Jim Hollis, NEOS President and CEO, commented, “After completing an extensive interpretation of the geoscience datasets we acquired, we identified many indicators of a hydrocarbon system. Given that only seven wells have ever been drilled in Lebanon, I believe the potential upside from additional exploration – including drilling – is huge. It has been a pleasure to work with the Lebanon Ministry of Energy & Water, the Lebanon Petroleum Administration (LPA), and Petroserv – our local partner – on this hallmark project.” The results came from the company’s neoBASIN™ study to evaluate the prospectivity of a 6,000 km2 area encompassing the onshore northern half of the country and the transition zone (TZ) along the Mediterranean coastline. Insights from the neoBASIN interpretation revealed tell-tale signs of a highly prospective hydrocarbon system: His Excellency Mr. Arthur Nazarian, Lebanese Minister of Energy & Water, commented, “This neoBASIN project has put the topic of onshore oil and gas exploration on the top of our national agenda once again. As an indication of the importance in which we hold this project, the Ministry will begin undertaking all of the necessary procedures to ensure the development of a vibrant onshore exploration sector.” NEOS CEO Hollis concluded, “We are developing plans to acquire additional data, including seismic over the most promising structures, to further de-risk the opportunity and to secure the capital needed to drill the most promising locations. I look forward to our continued collaborations with the Ministry, the LPA and Petroserv.” The interpretative products are now available for license to interested E&P operators. To learn more about this neoBASIN project, view: http://tinyurl.com/LebanonSlideshow. NEOS helps governments, energy ministries and exploration teams in the natural resources industries make faster, more informed decisions about where to explore, lease and drill. In partnership with its clients, NEOS acquires and simultaneously interprets multiple geological, seismic, non-seismic and geochemical datasets to identify valuable resources in the subsurface, including hydrocarbons, minerals and groundwater. For more information, visit www.neosgeo.com.

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