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The AAPG/Datapages Combined Publications Database

Showing 8,542 Results. Searched 200,663 documents.

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A Comparison of Air Photograph and Computer Simulated Wave Refraction Patterns in the Nearshore Area, Richibucto, Canada and Jervis Bay, Australia

Edward A. Bryant

Atlantic Geology

... played an increasingly important role in the description of coastal processes and the prediction of coastal change. They have been qualitatively related...

1974

Implementing an Integrated Production Surveillance and Optimization System in an Unconventional Field

Diego Molinari, Sathish Sankaran, Dave Symmons, Michael Perrotte, Edward Wolfram, Ilsa Krane, Jichao Han, Neha Bansal

Unconventional Resources Technology Conference (URTEC)

... Digital Oilfield, Integrated Asset Management, Unconventional Well Performance, Data Analytics, Surveillance, Value Creation, Lessons Learned, Scalable...

2019

Viability of long-short term memory neural networks for seismic refraction first break detection … a preliminary study

Tasman Gillfeather-Clark, Eun-Jung Holden, Daniel Wedge, Tom Horrocks, Carlie Byrne, Matthew Lawrence

Petroleum Exploration Society of Australia (PESA)

... prediction. To briefly surmise; early methods had issues with wavelet shape changes (Pealdi and Clement, 1972), a series of statistical tests were...

2019

Methodology for Enhancing and Evaluating Geologic Effects of Time Series Models: A Case of Ground Response in Santa Clara Valley, California, #41097 (2012)

Olusola Samuel-Ojo, Lorne Olfman, Linda A. Reinen, Arjuna Flenner, David D. Oglesby, Gareth J. Funning

Search and Discovery.com

... performance results. Levels and residuals are recombined in the aggregation phase in order to make subsurface prediction. The predictive performances...

2012

Reconstruction of Shale Based on Dual-Region Strategy and Very Fast Simulated Annealing Algorithm

Mengfei Zou, Weibo Sui, Xudong Wang, Shuang Zhang

Unconventional Resources Technology Conference (URTEC)

..., distribution, or storage of any part of this paper without the written consent of URTeC is prohibited. Abstract Although digital core technology offers...

2014

Sandstone-body dimensions in a lower coastal-plain depositional setting: Lower Williams Fork Formation, Coal Canyon, Piceance Basin, Colorado

Matthew J. Pranter, Rex D. Cole, Henrikus Panjaitan, Nicholas K. Sommer

AAPG Bulletin

...-Piceance province, Utah and Colorado: U.S. Geological Survey Digital Data Series DDS-69-B, 25 p.Hoak, T. E., and A. L. Klawitter, 1997, Prediction...

2009

Determination of Lithology from Well Logs Using a Neural Network (1)

SAMUEL J. ROGERS , J. H. FANG , C. L. KARR , and D. A. STANLEY

AAPG Bulletin

... a neural network to a sequential digital computer. The digital computer, in its elementary form, is a single central processor that can address an array...

1992

Raman Microscopy Analysis of Wyoming CarbonSAFE Pilot Well Thin Sections for Mineralogy and Organic Matter Characterization

Grant A. Myers, Trevor Brown, Shavinka Fernando, Erin Phillips, Fred McLaughlin

Unconventional Resources Technology Conference (URTEC)

... model as a function of the number of latent variables. On the right is a plot of the root-mean-squared error (RMSE) in the prediction of reflectance...

2021

Scaling Relationship of Syn-Rift Alluvial-Fluvial Channel System using Outcrop Analogue: Implication and Prediction for Paleogene Reservoir Geobody and Modeling in the Western Sundaland

Leon Taufani, Iqbal Fardiansyah, Dicky Harishidayat, Ari Wibowo

Indonesian Petroleum Association

...Scaling Relationship of Syn-Rift Alluvial-Fluvial Channel System using Outcrop Analogue: Implication and Prediction for Paleogene Reservoir Geobody...

2019

An Examination of the Effects of Surface Data Acquisition Methods on Well Performance Evaluations and Completion Optimization

Darryl Tompkins, Marci Kerls, Oladapo Adejare

Unconventional Resources Technology Conference (URTEC)

... for identification of a gas rate measurement error. The measurement devices used on this well were digital WHP gauges, guided wave radar tank level...

2020

Resurrection of a reservoir sandstone from tomographic data using three-dimensional printing

Sergey Ishutov, Franciszek J. Hasiuk, Shawn M. Fullmer, Antonio S. Buono, Joseph N. Gray, and Chris Harding

AAPG Bulletin

.... Gupta, J. G. Kralik, and R. Glotzbach, et al, 2014, An evaluation of digital rock physics technology for prediction of relative permeability and capillary...

2017

Rapid Multiple-Scenario Depth Structure Risk Analysis Case Study in Cuulong Basin, Vietnam

Nguyen Nam, Hong Shien Lee

Indonesian Petroleum Association

... is deeper than previous prediction applying time-depth functions from a neighbor well that was recently drilled. INTRODUCTION The continental shelf...

2008

Hydrocarbon Storage Mechanism in Shale Reservoirs and Impact on Hydrocarbon Production

Ali Tinni, Carl H. Sondergeld, Chandra S. Rai

Unconventional Resources Technology Conference (URTEC)

... the bubble point. Introduction and background In oil field science and engineering, the prediction of hydrocarbon reserves and mobility relies...

2017

Gradiometry „ The New Standard

Christopher van Galder, Alessandro Colla, Dan DiFrancesco

GEO ExPro Magazine

... components with accelerometers housed in three discrete instruments. Figure.1: Digital Falcon AGG ready for installation. Xcalibur Multiphysics BHP Sees...

2021

The Next Generation of Risk-Based Inspection for Coal Seam Gas Wells

Scott Collins, Joel Everson

Australian Petroleum Production & Exploration Association (APPEA) Journal

... management system, asset management, degradation prediction, digital twin, inspection interval, inspection optimisation, maintenance strategy, mobility...

2020

A New Method to Predict Organic Matter Porosity in Unconventional Shale Reservoirs

Wayne K. Camp

GCAGS Transactions

... into particles, matrix, and cement from digital SEM images. Summary and Conclusions The new proposed shale reservoir porosity prediction model...

2019

Challenges in Reservoir Characterization: GEOHORIZONS

H. H. Haldorsen, E. Damsleth

AAPG Bulletin

..., The Hague. Corrigan, T., 1988, Factors controlling successful reserve prediction: a cautionary tale from the UK North Sea: Paper presented at the 2nd...

1993

A New Pore Pressure Prediction Model for Naturally Fractured Shales and Stacked Plays: The Effect of Active Hydrocarbon Generation - A Powder River Basin Case Study

Daniel Orozco, Roberto Aguilera

Unconventional Resources Technology Conference (URTEC)

...A New Pore Pressure Prediction Model for Naturally Fractured Shales and Stacked Plays: The Effect of Active Hydrocarbon Generation - A Powder River...

2021

Numerical Modeling of Adsorption and Roughness Effects on Gas Transport in Shale Using the Lattice Boltzmann Method; #42070 (2017)

Yan Zeng, Zhengfu Ning, Yunan Li

Search and Discovery.com

... adsorption thickness and a novel boundary scheme, and reduces the mass flux error near the solid surface, to conduct further studies of the microcosmic...

2017

Physics-Informed Machine Learning Approach for Closed-Loop Reservoir Management Using RGNet

Zhenyu Guo, Sathish Sankaran

Unconventional Resources Technology Conference (URTEC)

...-Informed Machine Learning Approach for Closed-Loop Reservoir Management Using RGNet Zhenyu Guo*1, Sathish Sankaran1, 1. Xecta Digital Labs. Copyright 2024...

2024

Abstract: National seismic digital library: Husky digital data library

K. C. Coflin, K. D. McAlpine

Atlantic Geology

...Abstract: National seismic digital library: Husky digital data library K. C. Coflin, K. D. McAlpine 76 AGS ABSTRACTS National seismic digital...

1993

Abstracts: Physical Core vs Digital Core: Balance Between Touch-and-feel and Efficiency; #90173 (2015)

Greg Hu

Search and Discovery.com

...Abstracts: Physical Core vs Digital Core: Balance Between Touch-and-feel and Efficiency; #90173 (2015) Greg Hu AAPG Search and Discovery Article...

2015

Introduction to Nonlinear Models

Gerard V. Middleton and David M. Rubin

Special Publications of SEPM

... might be determined for a particular river by a least squares technique. e is "error", or natural variation caused by deterministic or stochastic...

1995

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