... is required to estimate methane flux from the measurements made by the drone. We trained a convolutional neural network (CNN) using Large Eddy Simulations (LES) dataset of methane plumes that mimic the real dataset of the next-generation Airborne Visible/Infrared Imaging Spectrometer (AVIRIS-NG) where wind...

... equation dataset presented URTeC: 3867326 Surface Compression and PAGL: Increase and Extend Production for Shale Wells Ozan Sayman*1, Kelsey Jones2, Ryan Hale2, Eduardo Pereyra3, Cem Sarica3, 1. Plunger Dynamics, 2. DJR Energy, 3. University of Tulsa Copyright 2023, Unconventional Resources Technology...

...-exponent dataset method urtec gulf mexico URTeC: 3865091 Estimating Real-Time Pore Pressure at the Bit Via Machine Learning Matthew Reilly2 , Gareth Taylor*1, Orlando De Jesus1, Muhlis Unaldi1, John Thurmond2, Mike Party2, Koda Chovanetz2,1. Quantico Energy Solutions, 2. Hess Corporation Copyright...

... information geological subdiscipline neural network reservoir geomechanics young united states government artificial intelligence machine learning geology textural intensity 0 machine learning facilitate prediction grayscale intensity segmentation elastic moduli pixel texture dataset complex...

... research information dataset figure permian rock quality stephen pratt unconventional resource technology conference xgboost URTeC: 3864794 A Shapley Approach to Permian Rock Quality Emily Head*1, Stephen Sagriff, Stephen Pratt, Brad Bernard 1. Enverus Intelligence Research. Copyright 2023...

... upstream oil & gas neural network artificial intelligence architecture geological subdiscipline geology mineral machine learning classification mancos shale information detection utilizing deep learning approach conference dataset calcite accuracy university characteristic mineral...

... mechanism dataset prediction percentile architecture information algorithm multi-modal data-assisted prediction forecasting static covariate china government urtec machine learning interpretation optimization unconventional resource technology conference URTeC: 3863309 Multi-Modal Data...

... swarm earthquake epicenter dataset URTeC: 3855873 Machine-Learning-Assisted Induced Seismicity Characterization and Forecasting of the Ellenburger Formation in Northern Midland Basin Niven Shumaker, Kaustubh Shrivastava, and Mohamed Afia, SLB Copyright 2023, Unconventional Resources Technology...

... dataset, improved insight into performance and builds the path for more confident decisions. upstream oil & gas production forecasting united states government petroleum geology machine learning geological subdiscipline sedimentary rock complex reservoir workflow economic geology...

... and validate the CNN. The trained CNN is then applied to the real dataset. Downton et al. (2020) demonstrate this workflow on a North Sea Oil field utilizing an unconsolidated (soft) sandstone rock physics model (RPM) (Dvorkin and Nur, 1996). This current work replaces the RPM with an inclusion model (Key...

.... These models are then used to screen and rank potential refrac candidates. For this purpose, we utilized the S&P Global Commodity insights public dataset to analyze the performance of fractured and refractured wells, leveraging data from more than 98,000 multi-fractured horizontal wells. We employed...

... states government health & medicine unconventional resource technology conference upstream oil & gas drillstem testing depletion drillstem/well testing interaction basin dataset complex reservoir parent-child depletion explanation forecast eur artificial intelligence seg...

... belt energy economics woodford efficiency migration stimulation compressional tectonics biogeochemistry wellbore figure 8 dataset lastly 16 URTeC: 3871303 Utilizing a Multidisciplinary Approach to Reservoir and Completion Optimization within the Woodford Shale Play of the Arkoma Basin...

... Abstract Managing pumping schedule during hydraulic fracturing operation is paramount to initiation and propagation of fracture systems. At the end of treatment when pumps are turned off, specialists have reported based on field datasets (e.g., microseismic and fiber-optics) that fractures...

... process considers the following factors: well design, hydraulic fracture design, gas injection rates, number of injection cycles, and injection-soaking-production periods. Latin hypercube algorithm was used to develop a large dataset representing a wide range of reservoir characteristics for tight shales...

... ltf information midland basin recovery prediction porosity male dataset dommisse probability geomodel regime completion regressor urtec URTeC: 3871063 Survival Analysis Predicts Flow Regime Changes for Permian Basin Tight Oil Wells Frank Male*1, Robin Dommisse2 1. Pennsylvania State...

... geosteerer unconventional resource economics united states government complex reservoir artificial intelligence geological subdiscipline dataset basin unconventional resource technology conference automated geosteering algorithm hierarchy geosteerer intervention variation optimization algorithm...

... & simulation artificial intelligence machine learning production control wattenbarger unconventional reservoir coefficient paper contribution assumption reservoir surveillance equation boundary formulation dataset mfhw production monitoring regime rnp unconventional resource technology...

... Abstract A novel diagnostic processing technique called Conductive Fracture Imaging (CFI) was applied to the Hydraulic Fracture Test Site-2 dataset acquired in 2019 in the Delaware Basin, USA. CFI results were delivered independently and subsequently compared to permanently installed fiber...

... productivity cashflow envelope unconventional reservoir technology conference optimization approximation unconventional resource technology conference assumption dataset completion tradeoff variance investment URTeC: 3864891 Inverse Approach to Development Optimizations to Calibrate Assumptions...