Reservoir Characterization and Petrofacies Model for the Devonian Grosmont and Upper Ireton Formations, Northeastern Alberta, Canada

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ABSTRACT: Testing Geomechanical Models of Deformation Associated with an Evolving Reef Margin, Capitan System (Permian), Guadalupe Mountains, Texas and New Mexico, U.S.A; #90061 (2006)

Phillip G. Resor and Eric A. Flodin

Search and Discovery.com

..., Middletown, CT (2) Indiana University Purdue University Fort Wayne, IN Stratal geometries of folded rocks can provide constraints for the prediction...

ABSTRACT: Mapping, Deposition and Early Diagenesis of Stromatolites: A Modern Analog from Hamelin Pool, Western Australia; #90132 (2011)

Erica Parke

Search and Discovery.com

... detailed facies maps, digital elevation and underwater terrain models of Hamelin Pool by combining satellite imagery, aerial photography, seafloor...

Abstract: PETROPHYSICAL COMPLEXITIES OF A PROGRADING REEF MARGIN; #90298 (2017)

Viviana Diaz

Search and Discovery.com

... of geophysical tools and thus, their prediction from seismic or well data relies on complementary high-resolution laboratory petrophysical study integrated...

The Road to Prestack Inversion

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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...

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...

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...

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...

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...

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...

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...

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...

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

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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

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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...

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...

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...

Integrating Petrographic, Petrophysical, and 3D Pore-Scale Measurements of Core Material from the Shuaiba Reservoir in Al Shaheen, Qatar; #50245 (2010)

Rob Sok, Mark Knackstedt, Abid Ghous, Christoph Arns, Søren Frank, Frans van Buchem, Torben Rasmussen, Jens Larsen, Ramdas Narayanan

Search and Discovery.com

... (from 10 nm to 10 cm) and to integrate information at these different scales. Here, a multi-scale digital core approach is used to improve prediction...

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...