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The AAPG/Datapages Combined Publications Database
Showing 8,246 Results. Searched 196,367 documents.
Machine-learning Approach to Optimize Huff-n-Puff Gas Injection in Naturally Fractured Shale Oil Reservoirs
Khaled Enab
Unconventional Resources Technology Conference (URTEC)
... contribution to production results from less than 6% recovery of the available hydrocarbon in these formations. Considering the 7.4 billion barrels of available...
2023
2011
Predicting Waterflood Behavior by Simulating Earth Models with No or Limited Dynamic Data: From Model Ranking to Simulating a Billion-Cell Model
Joseph Hovadik, David Larue
AAPG Special Volumes
... reservoirs II: London, Graham and Trotman, p. 353361.King, P. R., S. V. Buldyrev, N. V. Dokholyan et al., 2001, Predicting oil recovery using percolation...
2011
Predicting Gas EUR in Shale Plays Using Machine Learning Methods: A Comparative Study of Marcellus, Barnett, and Haynesville Shales
Ahmed Farid Ibrahim, Mohamed Adel Gabry, Ahmed Algarhy
Unconventional Resources Technology Conference (URTEC)
... the dataset, illustrating the tailored fracturing treatments applied to each well to optimize the hydrocarbon recovery. Total Proppant used...
2024
Abstract: Predicting Subsurface Structure for Hydrocarbon Exploration, Wind River Basin, Wyoming, by S. L. Perry and M. S. Perry; #91017 (1992).
Search and Discovery.com
1992
2001
2012
From Elemental X-Ray Fluorescence Analyses to Reservoir and Mechanical Properties of Unconventional Reservoirs: A Montney Story
Search and Discovery.com
N/A
Abstract: Reducing Unconventional Reservoir Uncertainty and Optimizing Completion Design: A Multidiscipline Integration Approach for Multi-Stage Fractured Wells; #90254 (2016)
Clay Kurison, Ali Sultan, Mohammed A. Al Duhailan, Clay Kurison, Angelica Rios, Fabio Gutierrez
Search and Discovery.com
... hydrocarbon resources in ultra-low permeability, organic-rich mudrocks have recently become viable as a result of horizontal well drilling coupled...
2016
Abstract: Modeling of Channel Stacking Patterns Controlled by NearWellbore Modeling; #91201 (2022)
Luis C. Escobar Arenas, Patrick Ronnau, Lisa Stright, Steve Hubbard, and Brian Romans
Search and Discovery.com
... that can impact hydrocarbon flow and recovery, and constraining models to well and seismic data is problematic. Employing >5000 m of measured...
Unknown
Abstract: Investigation and Identification of Pyrolysis Attributes that Can Assist in Predicting Producible Hydrocarbon in the Unconventional Eagle Ford Formation;
Albert Maende, Brian Horsfield, Sascha Kuske, Brian Jarvie, Dan Jarvie, W. David Weldon
Search and Discovery.com
...Abstract: Investigation and Identification of Pyrolysis Attributes that Can Assist in Predicting Producible Hydrocarbon in the Unconventional Eagle...
Unknown
Faults as Barriers and Conduits to Flow: Investigating the Dual Influence of Faulting on Hydrocarbons in the Kupe Field, South Taranaki, New Zealand, #90112 (2010)
Samuel Hemmings-Sykes,
Search and Discovery.com
... flow are well advanced, current geomechanical and geometrical methods for predicting updip hydrocarbon migration (and leakage) due to faulting...
2010
Condensate Blocking and Mitigation in Liquid-Rich Shale Reservoirs: An Integrated PVT Modeling and Simulation Evaluation
Narayana R. Nagarajan, Abdollah Orangi
Unconventional Resources Technology Conference (URTEC)
... interactions on gas and oil recovery. Liquid-Rich Shale Reservoirs Unconventional tight formations may be both the hydrocarbon sources and the reservoir...
2018
Discovery Science of Hydraulic Fracturing and Shale Fundamentals
Mohamed Mehana, Javier E. Santos, Chelsea Neil, Matthew R. Sweeney, Jeffery Hyman, Satish Karra, Hongwu Xu, Qinjun Kang, James William Carey, George Guthrie, Hari Viswanathan
Unconventional Resources Technology Conference (URTEC)
... to support a fractured shale's hydrocarbon recovery operation. Shale formations have redefined the world's energy landscape and provide possible geological...
2021
Abstract: Predicting Seal Efficiency and Trapped Hydrocarbon Type in Gulf Coast Hydrocarbon Systems: Lessons Learned From West Fulton Beach Field, Mid-Texas Gulf Coast, by P. R. Knox; #90950 (1996).
Search and Discovery.com
1996
Predicting Hydrocarbon Composition in Unconventional Reservoirs with a Compositional Generation/Expulsion Model
Search and Discovery.com
N/A
Carbon Dioxide--A Mobilizing Agent for Heavy-Oil Recovery: Section VI. Recovery
H. Murtada, B. Hofling
AAPG Special Volumes
...) on the extractability of light hydrocarbon ends from heavy oil by CO2, and (3) on the recovery performance when heavy oil is displaced by CO2. For light crudes...
1987
ABSTRACT: Predicting Petroleum Phase and Composition in Undrilled Prospects, by Fuhrmann, Andreas, Rolando di Primio, Brian Horsfield; #90026 (2004)
Search and Discovery.com
2004
Application of Steamflooding to Light Oil Reservoirs
K. C. Hong, J. W. Ault, T. R. Blevins
Indonesian Petroleum Association
... of SPE, Ventura, CA, March 23-25, 1983. 12. Gomaa, E. E., "Correlations for Predicting Oil Recovery by Steamflood", J. Pet. Tech. (February 1980...
1983
Geologic Commonalities (and Differences) among Resource Shale Plays; #80340 (2013)
Roger Slatt
Search and Discovery.com
..., are composed of common minerals that partially govern geomechanical properties, contain organic matter as a hydrocarbon source rock, have...
2013
Development of Secondary Porosity in a Meekwap Reef and Its Effect on Reservoir Properties
J.P. Reid, N.C. Wardlaw
CSPG Special Publications
... and their influence on hydrocarbon recovery efficiency: Geology of Carbonate Porosity, AAPG Continuing Education Series no. 11 Wardlaw, N.C., 1980...
1981
Abstract: Predicting Reservoir Facies Distribution in the Subsurface using an Artificial Neural Network: Hodgeman County, Kansas; #90309 (2017)
Jacob Clayton, Matt Totten, Abdelmoneam Raef
Search and Discovery.com
...Abstract: Predicting Reservoir Facies Distribution in the Subsurface using an Artificial Neural Network: Hodgeman County, Kansas; #90309 (2017) Jacob...
2017
Using Shale Capacity for Predicting Well Performance Variability; #42557 (2020)
Ritesh Kumar Sharma, Satinder Chopra
Search and Discovery.com
...Using Shale Capacity for Predicting Well Performance Variability; #42557 (2020) Ritesh Kumar Sharma, Satinder Chopra GC Using Shale Capacity...
2020
Predicting Oil Quality in Present Day Deepwater Drilling Environments, by W. Owen BeMent; #90037 (2005)
Search and Discovery.com
2005