TGS-NOPEC Geophysical Company (TGS) today announced the release of its new well log prediction tool – Analytics Ready LAS (ARLAS).
ARLAS log prediction algorithms, part of TGS’ AI initiatives, will calculate missing log curves and fill in gaps to give customers complete coverage from top to bottom, standardized, and ready for optimal analytic results. Using as little as one Gamma Ray, Bulk Density, Neutron Porosity, Sonic Pwave, or Deep Resistivity curve, TGS’ prediction algorithms can turn every LAS into a complete Quad-Combo suite.
Analytics Ready LAS uses a series of high-density data and blind testing, with over 75 different machine learning models used in each basin, producing incredible details and accuracies well above 90% for most curves.
?“As a technology leader and our commitment to the oil and energy digital transformation, TGS is excited to offer ARLAS to our customers, so they can evaluate large complex areas quickly and more efficiently,” said Arvind Sharma, V.P., data & analytics, TGS. “With the ability to combine ARLAS with additional data inputs for complex modeling and sweet spot detection, E&Ps and investors can now accelerate decision making for acquisitions, prospect generation, development, production and divestment.”
Complete coverage of all 300,000+ wells in the Permian basin is now available as well as 170,000+ wells in the Anadarko basin. ARLAS will be available to all US onshore areas by the end of 2019.
Analytics Ready LAS
ARLAS prediction algorithms will calculate missing well log curves and fill in the gaps of any single, double, and triple tool log suites. Customers receive a full set of workstation ready Quad-Combo logs, providing a complete view, top to bottom.
- Robust Set of Digital Log Curves
- No Gaps in Data
- No Missing Curves
Well Log Curve Prediction Using the World’s Most Complete Digital Log Library
Analytics Ready LAS (ARLAS) turns single, double, and triple tool log suites into Quad Combos. These standardized 5-curve sets provide the essential logs desired for reservoir characterization. New Analytics ready digital well log curves, produced using TGS’s proprietary Log Prediction algorithms to fill gaps in missing data, are industry full Quad-Combo equivalent curve suites with complete coverage from top to bottom, standardized and ready for optimal analytics results.
Fill in Gaps? ? ? ? ? ? ? ??
Gaps in log curves are weaknesses in any Oil and Gas asset analysis. Analytics Ready LAS log curves combine TGS’ largest and most dense coverage of digital log curves with industry changing machine learning to fill in those gaps, making sure customers are seeing everything. TGS’ library has more data than anyone else, enabling us to ensure the highest quality predicted log curves on the market.
With nearly 2 million wellbores digitized throughout North America, the largest commercial digital log library in the world, TGS has developed machine learning algorithms that predict missing curve responses in today’s digital well log data. TGS can successfully predict curve response in five key curve types: Gamma, Resistivity, Density, Neutron and Sonic. With accuracy rates well into the high 90% range for most curves, the data coverage and accuracy are unprecedented. TGS’ ARLAS illuminates the subsurface like never before.
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