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Welcome to the new Datapages Archives

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The AAPG/Datapages Combined Publications Database

Showing 15,635 Results. Searched 200,693 documents.

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ABSTRACT Architecture of Deep-Water Channel Complex Deposits Tres Pasos Formation Chile: Insights into Reservoir Compartmentalization in Channel-Lobe Transition Strata, #90104 (2010)

Macauley Ryan V.; Hubbard Stephen M.; Miles Brett D.; Schroeder Rick

Search and Discovery.com

... typically takes place over < 20 m, a shorter distance than is commonly expected, thus having important  implications on reservoir prediction from...

2010

ABSTRACT Carbon Sequestration and Water Displacement: What are the Important Parameters?, #90103 (2010)

Jean-Philippe Nicot, Jong-Won Choi, Silvia Solano

Search and Discovery.com

... Solano AAPG/SEG/SPE HEDBERG CONFERENCE “GEOLOGICAL CARBON SEQUESTRATION: PREDICTION AND VERIFICATION” AUGUST 16-19, 2009 – VANCOUVER, BC, CANADA...

2010

Abstract: Migration Lag … What Is It & How It Affects Charge Risk & Fluid Properties; #90257 (2016)

Zhiyong He

Search and Discovery.com

... cause the lag can significantly affect charge risk and fluid type prediction. During hydrocarbon generation, the initial HC fluid generated is taken...

Unknown

Abstract: Rock Volatiles Reservoir and Fluid Evaluation of STACK-SCOOP-MERGE in Oklahoma and Marcellus in Pennsylvania and West Virginia. New Insights from Gentle, Multi-Pressure, Multi-Extraction, Cryo-Trap Mass Spectrometry of PDC Cuttings and Cores;

Michael Smith

Search and Discovery.com

... pathways in Oklahoma are shown to occur on faults. Reservoir rocks adjacent to oil migrating faults are charged. Reservoirs at a significant distance...

Unknown

Approaches to Modeling Stratigraphic Heterogeneity in Mixed Fluvial and Aeolian Hydrocarbon Reservoirs; #41399 (2014)

Mohammed A. Al-Masrahy, Nigel P. Mountney

Search and Discovery.com

... heterogeneity at a number of scales. Quantitative stratigraphic prediction of the three-dimensional form of heterogeneities arising from fluvial and aeolian...

2014

Optimizing Shale Infill Development with AI: Child Well Meta Models

Charles Connell, Kyle LaMotta, Nitin Chaudhary, Mickey Friedrich

Unconventional Resources Technology Conference (URTEC)

... to child wells (e.g. distance to parents, lateral overlap with parents, depletion days, cumulative depletion, etc.). The prediction ensemble deployed...

2023

Sweet Infill Well Locations Prediction Using Multiple Supervised and Unsupervised Machine Learning Models

Mochammad Naufal Septifiandi, Ferdiansyah Rahman, Muhammad Husni Mubarak Lubis

Indonesian Petroleum Association

...Sweet Infill Well Locations Prediction Using Multiple Supervised and Unsupervised Machine Learning Models Mochammad Naufal Septifiandi, Ferdiansyah...

2023

Sandstone reservoir quality prediction: The state of the art

Joanna M. Ajdukiewicz, Robert H. Lander

AAPG Bulletin

...Sandstone reservoir quality prediction: The state of the art Joanna M. Ajdukiewicz, Robert H. Lander 2010 1083 1091 94 8 Aase, N. E., and O...

2010

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