... channel-fill reservoir bodies encased by non-reservoir over bank deposits (Meyer et al., 2014) with upwards of 2,000 ft. of vertical net productive reservoir sandstones within the approximate 6,000 ft. vertical reservoir interval. Cumulative production to date exceeds 7 TCF. geologic modeling well...

...-Mg cross-plots can be used as proxies to identify authigenic carbonate in the Eagle Ford and Haynesville Formations respectively, and can be used to indicate brittle zones for target adjustments at the wellsite. geologic modeling geological modeling shale gas upstream oil & gas...

.... geological modeling reservoir characterization drilling operation lateral optimization directional drilling upstream oil & gas ordos basin well planning structural geology massive sandstone urtec turbidite reservoir model horizontal well drilling efficiency geologic modeling china...

... different disciplines was analyzed and integrated to a create a consistent physics-based model. reservoir characterization geological modeling production monitoring artificial intelligence equation of state structural geology fluid modeling reservoir geomechanics log analysis reservoir...

... and 6.2 seconds, respectively, which confirms the robust performance of the metrics. reservoir characterization pixel geological modeling complex reservoir geologic modeling artificial intelligence quantification machine learning upstream oil & gas material constituent histogram...

... the results of a study focusing on landing zones in the Southern Midland Basin. Geological models were built based upon multiple geological studies, well logging, and core data. The geological models include the distributions of reservoir properties and geo-mechanical properties, where hydrocarbon-in-place...

... Abstract Reliable assessment of petrophysical, compositional, and mechanical properties is critical and yet challenging for formation characterization of organic-rich mudrocks. The formation evaluation results are the key to build an accurate geological model and are the starting point...

... permeability pre-frac reservoir modeling based on frac simulation results predicted cumulative gas rates for the new wells. geological modeling reservoir geomechanics fluid modeling production control geologic modeling reservoir characterization log analysis artificial intelligence equation...

... is highly important when predicting the new well production in unconventional reservoirs. This is a flexible method, which can be easily modified to find better predictive methods for other areas of interest. energy economics production control artificial intelligence geological modeling...

... be quickly iterated to understand the economic viability of various development strategies to maximize ROI while honoring realistic and varying reservoir properties. geological modeling geologic modeling reservoir characterization production control artificial intelligence neural network...

.... Calibrated models have been successfully developed in the Permian and Williston Basins. In this demonstration of the concept, we will show a prediction of frac gradient (FG) in the Williston Basin. geologic modeling Reservoir Characterization regression information machine learning Upstream Oil...

... Reservoir Characterization geological modeling geologic modeling structural model Upstream Oil & Gas basin Simulation reliable earth model facies INTERPRETATION interpretation Artificial Intelligence shale reservoir data Interpretation sequence stratigraphic concept machine...

... to the practice of 3D reservoir characterization in the Delaware Basin. Reservoir Characterization Thickness geologic modeling GeoModel Wolfcamp geological modeling platform multiscale geomodel Upstream Oil & Gas URTeC cross-section ultimate recovery geocellular model Permian Basin...

... Reservoir Surveillance normal score transform geological modeling production monitoring Upstream Oil & Gas Reservoir Characterization Artificial Intelligence information geologic modeling production control Bayesian Inference spatial continuity production forecast quantile horizontal...

...). Reservoir Characterization geologic modeling Artificial Intelligence geological modeling Upstream Oil & Gas trajectory Midland Basin reserve assessment landing zone machine learning GeoModel facies distribution water saturation ultimate recovery horizontal well stratigraphic zone...

... formations that drive recoveries in both the Core Wattenberg and Peripheral DJ regions. geological modeling well performance Reservoir Characterization machine learning geologic modeling data mining well planning Upstream Oil & Gas basin completion data unconventional resource...

... Abstract This paper employs an integrated geological modeling and numerical simulation method on an ultra-tight rock formation to determine if the surfactant imbibition process is a feasible enhanced oil recovery method. The ultratight rock formation studied was the Bakken Formation...

... scales and as a conceptual analogue for other unconventional hybrid plays. geologic modeling shale gas geological modeling Energy Economics complex reservoir structural geology study area Montney formation Reservoir Characterization Upstream Oil & Gas western canada compositional...

... Abstract Geologic models have been generated across extensive University Lands acreage in the southern Midland Basin as input for reservoir simulation studies to optimize Wolfcamp development. The acreage covers about 32 blocks in Upton, Reagan, Crockett, Irion, and Schleicher counties...

... modeling is the most integrated approach for evaluating such a complex system, however, it becomes challenging when it comes to green fields with short production history where many uncertain parameters need to be quantified. Uncertainties associated with geological models (such as depositional direction...