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The AAPG/Datapages Combined Publications Database

Showing 8,543 Results. Searched 200,621 documents.

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The Impact of Pore Geometry and Microporosity on Velocity-Porosity Relationship in Carbonates of Central Luconia, Sarawak; #41030 (2012)

Nor Sara Izzatti Bashah and Bernard Pierson

Search and Discovery.com

... and calculations of porosity volumes. Digital image analysis (DIA) of thin section images were used to identify the cause of the scattering and improve...

2012

Three-dimensional Reduced-Complexity Simulation of Fluvio-Deltaic Clastic Stratigraphy

Oriol Falivene, Alessandro Frascati, Michele Bolla Pittaluga, John Martin

Journal of Sedimentary Research (SEPM)

... and prediction of deep-water sands: Basin Research, v. 17, p. 521–550. Kaufman, P., Grotzinger, J.P., and McCormick, D.S., 1991, Depth-dependent diffusion...

2019

Digital Transformation of the Oil, Gas and Energy Value Chain

Paul Taliangis

Australian Petroleum Production & Exploration Association (APPEA) Journal

...Digital Transformation of the Oil, Gas and Energy Value Chain Paul Taliangis The APPEA Journal 2018, 58, 488–492 Full paper https://doi.org...

2018

Modelling and 3D Printing of a Random Porous Media Using Iterative Function System Fractals

Nhan Thanh Nguyen Kenny Cao, Chan Mayol, Alireza Salmachi, Agatha Labrinidis

Australian Petroleum Production & Exploration Association (APPEA) Journal

... experiments to investigate fluid flow (natural gas, CO2 and hydrogen) within an engineered porous media. This work aimed to create digital cores using...

2023

The Wellsite Computer – An Aid to Log Evaluation and Log Quality Control

Sami O. Ajam, S. E. Blalock, C. F. Vanberg, C. D. Donaghe

Indonesian Petroleum Association

... changed significantly in the past few years and especially with the of computerized logging units. Some advantages of these digital units are listed...

1981

Blockchains - Achieving Consensus in Oil and Gas Business Processes

Scott Waller

Australian Petroleum Production & Exploration Association (APPEA) Journal

..., digital, digitisation, transformation, carbon offset. Accepted 15 May 2021, published online 2 July 2021 Introduction Oil and gas companies have spent...

2021

Do We Really Need Deep Learning? A Study on Play Identification using SEM Images

Hanyan Zhang, Max T. Kasumov, Deepak Devegowda, Mark E. Curtis

Unconventional Resources Technology Conference (URTEC)

... (Szegedy et al., 2015), was also tested but was seen to be susceptible to severe overfitting (Knaup, 2019). Figure 1 is an example of prediction using one...

2021

A Machine-Learning-Based Workflow for Drilling Risk Prediction of Wellbore Instability and Trajectory Optimization in Ultra-Deep Formation

Hanqing Wang, Ruxin Zhang, Ziyan Deng, Jin Meng, Han Wang, Yujie Zhou, Fan Yang, Ji Chang, Yitian Xiao, Huiwen Pang

Unconventional Resources Technology Conference (URTEC)

...A Machine-Learning-Based Workflow for Drilling Risk Prediction of Wellbore Instability and Trajectory Optimization in Ultra-Deep Formation Hanqing...

2024

Hybrid Physics and Data-Driven Modeling for Unconventional Field Development … Onshore US Basin Case Study

Jaeyoung Park, Akhil Datta-Gupta, Ajay Singh, Sathish Sankaran

Unconventional Resources Technology Conference (URTEC)

... Park*1, Akhil Datta-Gupta1, Ajay Singh2, Sathish Sankaran3, (1. Texas A&M University, 2. Former Anadarko Petroleum Corporation, 3. Xecta Digital Labs...

2020

Abstract: Machine Learning and Deep Learning in Oil and Gas Industry: A Review Ofapplications, Opportunities and Challenges; #91204 (2023)

Tejas Balasaheb Sabale, Syed Aaquib Hussain, Mohd Zuhair, Mohammad Saud Afzal, Arnab Ghosh

Search and Discovery.com

... the production cost [6]. In recent years, industry has adopted and developed new technologies for intelligent drilling, digital platforms, drilling...

2023

Assessing paleoecological data retention among disparate field collection regimes: a case study at the Mygatt-Moore Quarry (Morrison Formation)

Julia B. McHugh, Stephanie K. Drumheller, Miriam Kane, Anja Riedel, Jennifer H. Nestler

PALAIOS

... specimens by overlaying photos with a 4.0 cm2 digital grid to create a digital set of equal sized fragments. With such a large dataset, we took a random 10...

2023

Big Data and Post-Graduate Training

Mike Bowman

GEO ExPro Magazine

... or deviations from a model-based subsurface description and reservoir performance prediction. This organizational model will likely be replicated...

2020

ABSTRACT: Prediction of Co2 Sorption in Coal Seams using Uncrushed Coal Cores under Realistic P, T, and Moisture Conditions

Rachel Walker, Maria Mastalerz, Arndt Schimmelmann, Laurence Hawkes, Jon Fong, Wilfrido Solano-Acosta

The Society for Organic Petrology (TSOP)

...ABSTRACT: Prediction of Co2 Sorption in Coal Seams using Uncrushed Coal Cores under Realistic P, T, and Moisture Conditions Rachel Walker, Maria...

2003

Full-Field Strain Measurement on Rocks with Horizontal Natural Fractures

Mehdi Mokhtari, Fatick Nath, Shuxian Jiang

Unconventional Resources Technology Conference (URTEC)

... to propagate vertically. Keywords: Strain, Optical Technique, Digital Image Correlation, Natural Fracture, Complex Fracture Introduction Strain is a key...

2018

Southwest Pacific Seamounts Revealed by Satellite Altimetry

Peter J. Hill, Nicholas Baudry

Circum Pacific Council Publications

... error that can be as much as several meters, but since it is of very long wave-length, seamount signatures are not affected. For short wavelengths...

1992

Critical Grain-Size Parameters for Predicting Framework and “Floating” Grains in Sediments

Steven L. Bryant, Chris Lerch, Michael E. Glinsky

Journal of Sedimentary Research (SEPM)

..., 2005, Digital core laboratory: Petrophysical analysis from 3D imaging of reservoir core fragments: Petrophysics, v. 46, p. 260–277. Bakke, S., and Oren...

2009

Inferring total organic carbon and major element geochemical and mineralogical characteristics of shale core from hyperspectral imagery

B. Rivard, N. B. Harris, J. Feng, and T. Dong

AAPG Bulletin

... combines reflectance spectroscopy with high-resolution digital imaging to provide a spectrum per pixel. The application of hyperspectral imaging...

2018

Modeling Unconventional Reservoirs Using a Graph Network Model

Zhenyu Guo, Sathish Sankaran

Unconventional Resources Technology Conference (URTEC)

... a Graph Network Model Zhenyu Guo*, Sathish Sankaran, Xecta Digital Labs. Copyright 2022, Unconventional Resources Technology Conference (URTeC) DOI...

2022

Capturing Porestructures with Digital Image Analysis for a Quantitative Correlation to Physical Properties, #40756 (2011)

Ralf J. Weger, Klass Verwer, Gregor P. Eberli, Gregor Baechle

Search and Discovery.com

...Capturing Porestructures with Digital Image Analysis for a Quantitative Correlation to Physical Properties, #40756 (2011) Ralf J. Weger, Klass...

2011

Use of Unmanned Aerial Vehicles (UAVs) to Create Digital Outcrop Models: An Example from the Cretaceous Cow Creek Formation, Central Texas

Chris Zahm, Josh Lambert, Charlie Kerans

GCAGS Journal

...Use of Unmanned Aerial Vehicles (UAVs) to Create Digital Outcrop Models: An Example from the Cretaceous Cow Creek Formation, Central Texas Chris Zahm...

2016

Just How Good Are We at the Digital Oilfield?

Julian Pickering, Samit Sengupta

GEO ExPro Magazine

...Just How Good Are We at the Digital Oilfield? Julian Pickering, Samit Sengupta GeoExPro Vol. 10, No. 6, December 2013 Copyright © 2018 Geopublishing...

2013

Accelerated Dynamic Modeling for Complex Networks

Cedric Chidiac, Bob Sauve, Kirk Pitts, Vijaya Halabe

Unconventional Resources Technology Conference (URTEC)

... simulation with an error of less than 5%. Note that the hybrid flow rate shown is the flow rate that is predicted by the steady state simulator whereas...

2015

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