Gravity Anomalies Along the Beartooth Front, Montana: Evidence for a Low-Angle Thrust

William E. Bonini, Randy E. Kinard

Wyoming Geological Association

..., Digital computer systems in interpretation of gravity data with applications to the southern Montana gravity high: Princeton University, unpublished...

Stratigraphic Control on Oil Field Performance in Clastic Reservoirs of the Norwegian Continental Shelf: An Insight from Machine-learning Techniques, #30612 (2019).

Kachalla Aliyuda, John A. Howell, Adrian Hartley

Search and Discovery.com

... Relationship between recovery factor predicted by machine learning model (SVM model) and volumetrically estimated recovery factor. Error Reservoirs...

Smart Midstream Integration For CSG to LNG

Russell Byfield

Unconventional Resources Technology Conference (URTEC)

... the need for enterprise wide optimization in the upstream and midstream oil & gas industry is greater than ever. The terms Digital Oil Field / Digital...

Predicting Hydraulic Fracture Injection Pressure Using Hybrid Model for Completions Optimization

Ruxin Zhang, Hardikkumar Zalavadia, Sathish Sankaran

Unconventional Resources Technology Conference (URTEC)

..., Sathish Sankaran2, 1. Texas A&M University, 2. Xecta Digital Labs Copyright 2024, Unconventional Resources Technology Conference (URTeC) DOI...

Identification of vehicles from seismic signals using machine learning

Xiaoxuan Zhu, Ji Zhang, Jie Zhang

International Meeting for Applied Geoscience and Energy (IMAGE)

... of Science and Technology of China (USTC) Summary Monitoring and managing traffic have been an important subject for public safety. Creating digital...

Digitalisation and Automation for the Development of Modern Engineering Workflows

Alan Hernandez, Michael Sinclair

Australian Petroleum Production & Exploration Association (APPEA) Journal

..., WA, Australia Email: [email protected] ABSTRACT Automation, as part of the Energy Industry’s Digital Transformation, is producing...

How To Quantify Clay-Coat Grain Coverage in Modern and Ancient Sediments

Luke J. Wooldridge, Richard H. Worden, Joshua Griffiths,, James E.P. Utley

Journal of Sedimentary Research (SEPM)

... of the North Sea, Germany: Sedimentology, v. 51, p. 591–600. Dowey, P.J., 2013, Prediction of clay minerals and grain coatings in sandstone reservoirs...

First and Second Degree Regression Correlation of the Size Analysis Statistical Parameters of Trask, Inman, Folk and Ward, and Friedman: NOTES

W. D. Sevon

Journal of Sedimentary Research (SEPM)

... parameters were performed on the IBM 1620 digital computer in the Mobil Computer Laboratory of the University of Canterbury, Christchurch, New Zealand...

Quantifying Fracture Intensity: An Example from the Piceance Basin

Leonel Gomez, Julia F. W. Gale, S. E. Laubach, S. Cumella

Rocky Mountain Association of Geologists

... in the SHCT-1 Cozzette interval suggests that our prediction underestimates average spacing. However, the major source of error in our measured...

Industry 4.0: 101 … A Simplified Guide to the Fourth Industrial Revolution and its Application in the Oil and Gas Industry; #70380 (2019)

Noor Al-Nahhas

Search and Discovery.com

.... Noor Alnahhas Managing Director st 1 nd 2 Mechanization Mass Production Steam & Water Power Electricity & Assembly Line rd 3 Digital Computer...

Lithofacies identification in cores using deep learning segmentation and the role of geoscientists: Turbidite deposits (Gulf of Mexico and North Sea)

Oriol Falivene, Neal C. Auchter, Rafael Pires de Lima, Luuk Kleipool, John G. Solum, Pedram Zarian, Rachel W. Clark, and Irene Espejo

AAPG Bulletin

... consuming, prone to individual bias or human error, and requires specialized knowledge. To address these challenges, we test the application...

1-D Stratigraphic Analysis

Charles Kerans, Scott W. Tinker

Special Publications of SEPM

... procedures (Sprunt 1989). Permeability measurements from core are important because they provide "ground truth" for permeability prediction from wireline log...

Historic Fracture Design Evaluation Made Easy: Automating Pumping Schedule Recognition from Hydraulic Fracturing Time-Series Data

Jessica Iriarte, Sam Hoda

Unconventional Resources Technology Conference (URTEC)

... down into its proppant steps. This is accomplished using quantization ideas from digital signal processing. Quantizing the signal maps the observed...

The Stratigraphic Evolution of a Migrating Submarine Channel System in a Tectonically-Confined Basin: Driving Factors and Implications for Reservoir Prediction – The Gorgoglione Flysch Formation, Southern Italy

Search and Discovery.com

Automated Lithology Prediction From Core Images and Well Log Data Using Machine Learning Models: A Case Study From the Greater Schiehallion Area, West of Shetland, United Kingdom

Search and Discovery.com

Settling Velocity and Grain Shape of Maërl Biogenic Gravel

Siddhi Joshi, Garret P. Duffy, Colin Brown

Journal of Sedimentary Research (SEPM)

... region where there is greatest uncertainty in prediction, and the Newtonian or inertial region where the turbulent drag of the wake behind each grain...

Nano-enhanced drilling fluids: Effects of MgO and ZnO nanoparticles on rheological properties and ANN modeling for predictive analysis

Moamen Gasser, Taha Yehia, Hossam Ebaid, Nathan Meehan, Omar Mahmoud

International Meeting for Applied Geoscience and Energy (IMAGE)

.... The models were evaluated by conducting statistical tests like correlation coefficient (R2), root mean square error (RMSE), absolute average relative...

A Laboratory Experimental and Reservoir Simulation Estimation on Minimum Miscible Pressure (MMP) for CO2 Injection in HIL Oil Field

Hamdan Hilal, Suranto, Dadan Damayandri, Argavi Koto

Indonesian Petroleum Association

..., Suranto, Dadan Damayandri, Argavi Koto IPA20-SE-235 PROCEEDINGS, INDONESIAN PETROLEUM ASSOCIATION Digital Technical Conference, 14-17 September 2020...

Using Machine Learning Methods to Identify Coals from Drilling and Logging-While-Drilling LWD Data

Ruizhi Zhong, Raymond L. Johnson Jr., Zhongwei Chen

Unconventional Resources Technology Conference (URTEC)

... the performance on coal prediction, two data manipulation techniques [naive random oversampling technique (NROS) and synthetic minority oversampling...

Application of Assisted History Matching Workflow to Shale Gas Well Using EDFM and Neural Network-Markov Chain Monte Carlo Algorithm

Sutthaporn Tripoppoom, Wei Yu, Kamy Sepehrnoori, Jijun Miao

Unconventional Resources Technology Conference (URTEC)

... by the networks, is validated for the NN prediction error. The objective of having calibration data set is to prevent the overtraining of NN. The training...

Physics-Informed Deep Learning Models for Improving Shale and Tight Forecast Scalability and Reliability

Kainan Wang, Lichi Deng, Yuzhe Cai, Guido Di Federico, Keith Ramsaran, Mun-Hong Hui, Hussein Alboudwarej, Christian Hager, Yuguang Chen, Xian-Huan Wen

Unconventional Resources Technology Conference (URTEC)

... curves that serve as digital analogs and augment field data. We then develop deep learning models to make probabilistic forecasting for new wells...

Modeling of Sandstone Ngrayong Formation Using Digital Image Analysis

Annisa Rachmi Trahwiwit Widijana, Fourier Dzar Eljabbar, Almira Anissofira, Fatkhan, Handoyo

Indonesian Petroleum Association

...Modeling of Sandstone Ngrayong Formation Using Digital Image Analysis Annisa Rachmi Trahwiwit Widijana, Fourier Dzar Eljabbar, Almira Anissofira...

Abstract: Digital Well Logs + Digital Computer = A New Practical Exploration Tool in the Frio Trend

Phillip L. Work

GCAGS Transactions

...Abstract: Digital Well Logs + Digital Computer = A New Practical Exploration Tool in the Frio Trend Phillip L. Work 1972 Vol. 22 (1972...

Digital Well Logs Plus Digital Computer Equals New Practical Exploration Tool: ABSTRACT

P. L. Work

AAPG Bulletin

...Digital Well Logs Plus Digital Computer Equals New Practical Exploration Tool: ABSTRACT P. L. Work 1972 1906 1906 56 9. (September) Petrophysical...

Abstract: The Acquisition and Analysis of High Resolution Digital Photorealistic Outcrop Models; #90241 (2015)

Lionel White and Carlos Aiken

Search and Discovery.com

...Abstract: The Acquisition and Analysis of High Resolution Digital Photorealistic Outcrop Models; #90241 (2015) Lionel White and Carlos Aiken AAPG...