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The AAPG/Datapages Combined Publications Database
Showing 15,613 Results. Searched 200,357 documents.
Evaluation of Hybrid Prediction Models for Accurate Rate of Penetration (ROP) Prediction in Drilling Operations; #42586 (2023)
Abdelhakim Khouissat, Dr. Mohamed Riad Youcefi, Ghoulem Ifrene, Doina Irofti
Search and Discovery.com
...Evaluation of Hybrid Prediction Models for Accurate Rate of Penetration (ROP) Prediction in Drilling Operations; #42586 (2023) Abdelhakim Khouissat...
2023
The Geophysicist Communicating with Seismic Processing
R. E. Sheriff
Southeast Asia Petroleum Exploration Society (SEAPEX)
... operator length (OPERATOR) and prediction lag (LAG). An output tape (/OUTPUT) is made at this point so that a next processing pass can begin here without...
1980
Front Matter for CSPG Memoir 10
Ian A. McIlreath
CSPG Special Publications
... for some North Sea oil and gas bearing conglomerates. Solutions to the problems are clearly important; it helps in reservoir prediction and development...
1984
Advanced Mud Logging Analysis Techniques in the Delaware Mountain Group of the Delaware Basin
R. P. Murphy, Kevin Cranston
West Texas Geological Society
... Paleontologists and Mineralogists (Permian Basin Section), pub. 79–18, p. 191–204. Katz, D. L., 1942, Prediction of the shrinkage of crude oil: in A.P.I. Drilling...
1984
Outcrop Analogues for Subsurface Sand Body Geometries in Regressive and Transgressive Mahakam Delta Successions
Ridha S. Riadi, Joseph J. Lambiase
Indonesian Petroleum Association
... sandstones are lag deposits derived from the erosion of nearby floodplain strata. Crevasse Splay This facies is 5 - 15 cm thick, fining-upward medium...
2015
Unlocking the High Hydrocarbon Potential in Very Low Quality Formations in the Bangko and Balam South East Field, Central Sumatra Basin, Indonesia
Reybi Waren, Endo Finaldhi, Muhammad Ramdhan, Muhamad Aji, Hafidz Qadly, Agin R. Budiman
Indonesian Petroleum Association
... Annual Convention Proceedings, 2015 zones and the level of detail in reservoir geometry as well as the prediction of petrophysical characteristics...
2015
Foreword
AAPG Special Volumes
... the important key horizons. Great increase in the depth of exploratory wells and of production is a safe prediction. Wells to 20,000 feet may be mechanically...
1936
3D Modeling and Analysis of the Utah FORGE Reservoir Stimulation
Dharmendra Kumar, Ahmad Ghassemi, Baohua Liu
Unconventional Resources Technology Conference (URTEC)
... in hydrocarbon reservoirs, leads to almost zero lag between the fluid front and the crack front and these two fronts effectively coalesce to a single front...
2023
Future of Geophysics
Paul L. Lyons
AAPG Bulletin
... of geophysics, have mounted from 116 billion barrels in 1952 to a fabulous new high of 158 billion in 1954. As you know, there is always a lag between...
1955
Lacustrine Facies In Response To Millennial–Century-Scale Climate Changes (Lake Hayk, Northern Ethiopia)
Massimiliano Ghinassi, Filippo D'oriano, Marco Benvenuti, Mariaelena Fedi, Stanley Awramik
Journal of Sedimentary Research (SEPM)
... are documented by 0.2 to 4.5 cm thick, wave-winnowed, sandy lag deposits. Development soils, which stabilized the steep slopes and prevented...
2015
Application of Sequence Stratigraphy to the Prioritization of Incremental Growth Opportunities in Mature Reservoirs: An Example from Frio Fluvial-Deltaic Sandstones, T-C-B Field, South Texas
Paul R. Knox, Lee E. McRae
GCAGS Transactions
... appearing laterally continuous, they are extensively compartmented by high volumes of low-permeability siltstones and shales, as well as mudclast-rich lag...
1995
Depositional Controls Over Porosity Development in Lithic Sandstones of the Appalachian Basin: Reducing Exploration Risk
Richard Smosna, Kathy R. Bruner
AAPG Special Volumes
.... Bruner 1997 249 265 AAPG Memoir 69: AAPG Memoir 69: Reservoir Quality Prediction in Sandstones and Carbonates, 1997 Litharenites and sublitharenites...
1997
Application of interactive convolutional neural network micro-fracture prediction technology based on prestack depth migration data in deep shale gas reservoirs
Xiaolan Wang, Furong Wu, Junfeng Liu, Dianguang Zang, Xiao Yang, Yangjing Li, Xiaoyan Cheng
International Meeting for Applied Geoscience and Energy (IMAGE)
...Application of interactive convolutional neural network micro-fracture prediction technology based on prestack depth migration data in deep shale gas...
2024
Deterministic and Statistical Wavelet Processing
Lee Lu
Southeast Asia Petroleum Exploration Society (SEAPEX)
... - (gapped deconvolution) The statistical model attempts to set up a prediction filter which gives the next term in a trace as a linear combination...
1980
The Use of Pseudofunctions in the Up-Scaling of Reservoir Simulation Models
Erie Soedarmo, Wiria Tirtasudira
Indonesian Petroleum Association
... of reservoir heterogeneity on the prediction of fluid flow processes in underground reservoirs is a central problem in reservoir engineering. Whilst...
1996
Prediction of Oil Gravity Prior to Drill-Stem Testing in Monterey Formation Reservoirs, Offshore California
D. K. Baskin , R. W. Jones
AAPG Bulletin
...Prediction of Oil Gravity Prior to Drill-Stem Testing in Monterey Formation Reservoirs, Offshore California D. K. Baskin , R. W. Jones 1993 1479...
1993
Supply, segregation, successions, and significance of shallow marine conglomeratic deposits
H. Edward Clifton
CSPG Bulletin
..., sedimentary processes, and sequence stratigraphy, but also facilitate prediction of the distribution and quality of hydrocarbon reservoirs within...
2003
Meteoric diagenesis and fluid-rock interaction in the Middle Permian Capitan backreef: Yates Formation, Slaughter Canyon, New Mexico
James W. Bishop, David A. Osleger, Isabel P. Montañez, and Dawn Y. Sumner
AAPG Bulletin
..., which hampers the prediction of porosity-occluding phases. Geochemical analysis helps identify cements and better understand their origin and timing...
2014
Attenuation of Marine Coherent Noise – A Processing Case History in the East China Sea
Huaien Wang, Liu Guangxin, Curtis E. Hinz, Fred F. C. Snyder
Southeast Asia Petroleum Exploration Society (SEAPEX)
... into offset or receiver organized records followed by the application of an F-K prediction filter technique. This technique discriminates against random...
1990
Prediction and Analysis of Geomechanical Properties using Deep Learning: A Permian Basin Case Study
Fatick Nath, Karina Murillo, Sarker Monojit Asish, Deepak Ganta, Valeria Limon, Edgardo Aguirre, Gabriel Aguirre, Happy R. Debi, Jose L. Perez, Cesar Netro, Flavio Borjas
Unconventional Resources Technology Conference (URTEC)
...Prediction and Analysis of Geomechanical Properties using Deep Learning: A Permian Basin Case Study Fatick Nath, Karina Murillo, Sarker Monojit Asish...
2022
Multi-Step Auto-Regressive Reconstruction of Nonuniformly Sampled, Aliased Seismic Records; #41563 (2015)
M. Naghizadeh, M. D. Sacchi
Search and Discovery.com
... is reconstructed. Using data inside the reconstructed band, a Multi-Step Auto-Regressive (MSAR) operator extracts the ensemble of prediction filters that are used...
2015
Computer simulation of coastal-marine sedimentary sequences influenced by glacial-eustatic sea-level fluctuations
W. Lynn Watney, John French, Jan-Chung Wong
Kansas Geological Society
... potentially be extended to equivalent-age petroleum reservoirs in the deeper subsurface to aid in reservoir prediction. Sedimentary modeling is an area...
1989
Application of formation pressure prediction technique based on high-density three-dimensional seismic constraints in complex structural zones
Baoli Yu, Keyu Liu, Chao Li, Peng Chen, Baorong Xu, Jia Chen, Wenchao Xiang, Bo Yuan
International Meeting for Applied Geoscience and Energy (IMAGE)
...Application of formation pressure prediction technique based on high-density three-dimensional seismic constraints in complex structural zones Baoli...
2022
Pore Pressure Prediction as a Prospecting Tool, Input to Risk, Volumes and Field Development
John P. Brown and Rashidah Karim
Search and Discovery.com
...Pore Pressure Prediction as a Prospecting Tool, Input to Risk, Volumes and Field Development John P. Brown and Rashidah Karim Pore Pressure...
Unknown
Pore Pressure Prediction in Challenging Areas Reducing Uncertainty by Understanding Rock Behaviour; #40650 (2010)
Sam Green, Richard Swarbrick, Stephen O'Connor, Phill Clegg, David T. Scott, and Bitrus Pindar
Search and Discovery.com
...Pore Pressure Prediction in Challenging Areas Reducing Uncertainty by Understanding Rock Behaviour; #40650 (2010) Sam Green, Richard Swarbrick...
2010