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The AAPG/Datapages Combined Publications Database

Showing 183 Results. Searched 195,364 documents.

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Calculating Lunar Retreat Rates Using Tidal Rhythmites

Erik P. Kvale , Hollis W. Johnson , Charles P. Sonett , Allen W. Archer , Ann Zawistoski

Journal of Sedimentary Research (SEPM)

..., on an idealized Earth completely covered by deep water of uniform depth that is capable of instantly responding to changes in tractive forces (Macmillan...

1999

Ocean Magnetic Anomalies and Their Relations to Continents

A. A. Meyerhoff , H. A. Meyerhoff

AAPG Special Volumes

... and the Minia Seamount near 53°N in the Atlantic Ocean: Marine Geology, v. 14, no. 1, p. 47-72. Kamen-Kaye, Maurice, 1970, Age of the basins: Geotimes...

1974

Biogenic Sedimentary Structures Produced by Crabs in Lagoon Margin and Salt Marsh Environments Near Beaufort, North Carolina

Elizabeth A. Allen , H. Allen Curran

Journal of Sedimentary Research (SEPM)

..., Ocypode quadrata, in the backshore and foredune ridge zones above the high tide line. Salt marshes influenced by normal to near normal marine...

1974

Communication and Exploration Synergism

John H. Silcox

Circum Pacific Council Publications

..., a drilling engineer, and a researcher. These three men were early practitioners of the art of bridging the gap between, and gaining reinforcement from...

1989

Optimization of Unconventional Well-Pad Area Using Reservoir Simulation and Intelligent Sequential Sampling

Eric Robertson, Naresh Iyer, Robert Klenner, Guoxiang (Gavin) Liu

Unconventional Resources Technology Conference (URTEC)

... equal to 1 – Sw. Initial pressures of the fracture system were set equal to the matrix values for a given depth. The static reservoir model...

2017

Geotechnical Engineering Investigations of the Highland Tower Condominium Collapse, UIu Kelang, Selangor

Nik Ramlan b Nik Hassan

Geological Society of Malaysia (GSM)

... Tests Compressive strength of concrete Bending Tests Bending strength of reinforcement bars and rail piles liii:l;llim;nIff~~g~~*m~~g~!lDi...

1995

Physics-Assisted Transfer Learning for Production Prediction in Unconventional Reservoirs

J. Cornelio, S. Mohd Razak, A. Jahandideh, Y. Cho, H-H. Liu, R. Vaidya, B. Jafarpour

Unconventional Resources Technology Conference (URTEC)

... (Janet P. et al., 2001) (considering the initial reservoir pressure is related to depth). Lastly, a negative correlation is considered between water...

2021

Chapter Two: Color, Character and Zero-Phaseness

Alistair R. Brown

AAPG Special Volumes

... are saturated or clipped; and (3) the troughs, where they have significant amplitudes, are not visible beneath the depth points where they belong. The red...

2011

Development of Insulator Components for Electrical Heating of Oil Sands: Section VI. Recovery

K. Okahashi, I. Ishii, S. Hirabayashi, A. Higuchi, Y. Takahashi, Y. Ohata

AAPG Special Volumes

... as matrix and glass cloth used for reinforcement have been studied. The PEEK-glass composites were made by heat pressing at 380°C with alternating layers...

1987

Application of random forest algorithm to predict lithofacies from well and seismic data in Balder field, Norwegian North Sea

Hoang Nguyen, Bérengère Savary-Sismondini, Virginie Patacz, Arnt Jenssen, Robin Kifle, and Alexandre Bertrand

AAPG Bulletin

... uncertainty” (Murphy, 2012, p. 32). These methods can be divided into three main types: supervised learning, unsupervised learning, and reinforcement...

2022

Engineering Geology of Jordanelle Dam and Reservoir Bonneville Unit, Central Utah Project, Utah

Gary Dow

Utah Geological Association

... to the north to a depth of approximately 150 feet below the flood-plain elevation, and up to 400 feet deep below the left abutment. The contact dips...

1995

Deep Net Simulator (DNS): A New Insight into Reservoir Simulation

Shahdad Ghassemzadeh, Maria Gonzalez Perdomo, Manouchehr Haghighi, Ehsan Abbasnejad

Australian Petroleum Production & Exploration Association (APPEA) Journal

... features from raw data. The depth of architecture is one of the main differences between standard ANN and deep learning networks. In addition, more...

2020

Carbon Black Manufacturing

Suroso W. S., D. Djoearsa, M. S. M. Situmorang

Indonesian Petroleum Association

... application. Approximately 90% of all carbon black produced is used in the reinforcement of rubber goods, because of its excellent reinforcing effect...

1975

Reefs and Evaporites: A Summary

L. L. Sloss

AAPG Special Volumes

.... Once the pattern is established it demands little reinforcement by continuing differential subsidence. Operation of the continuous process...

1977

Pipeline Integrity Improvement … Case Study for Petani-Pematang-Bekasap Water Transfer Line

Yudianto Utomo, Rianto Hutagalung

Indonesian Petroleum Association

... reinforcement. Pipe leaks are unpredictable, so leak-handling seems like firefighting. The lesson learnt was that proper inspection and comprehensive study...

2014

Wegener's Hypothesis

J. W. Gregory

AAPG Special Volumes

... and the crust thick r and more rigid. Van der Gracht's reinforcement of the Wegener theory by Joly's periodic melting of the sima by radioactive heat...

1928

TABLELAND PHOTOLINEAMENT PATTERN REVISITED

J.D. MOLLARD

Williston Basin Symposium

... of incompletely developed rings, can also be seen in the Tableland area (Figure 7a). Whether or not the inferred highs at depth are basement hills, large...

1987

Advanced Machine Learning Methods for Prediction of Fracture Closure Pressure, ClosureTime, Permeability and Time to Late Flow Regimes From DFIT

Mohamed Ibrahim Mohamed, Dinesh Mehta, Mohamed Salah, Mazher Ibrahim, Erdal Ozkan

Unconventional Resources Technology Conference (URTEC)

... (ISIP), total vertical depth (TVD), closure pressure, closure time, and target formation from multiple offset wells can be used to predict the properties...

2020

Chapter 12: Increasing Interpreter Capability in Structurally Complex Settings through Combined Fieldwork, Interpretation, and Geocellular Modeling

John G. Solum, Stephen J. Jolley, Benjamin D. Meyer

AAPG Special Volumes

... be familiar with seismic interpretation and reservoir engineering practice. Faults at depth must be interpreted on seismic data, and these interpretations...

2016

Hydromechanical Principles of Sediment Structure Formation

L.I. Briggs, G. V. Middleton

Special Publications of SEPM

... OF SEDIMENT FORMATION diffusion or exchange of momentum 3 1000 It is found experimentally that when the velocity or depth is large...

1960

Towards 2030: Transforming Asset Emissions in Australian Production Operations

Peter Carydias, Preben Nielsen

Australian Petroleum Production & Exploration Association (APPEA) Journal

..., A. Lanzara, Wood 2022 unpubl. data). S363 P. Carydias and P. Nielsen 2. Deep reinforcement learning (AI, artificial intelligence) to optimise power...

2023

Physics-Constrained Deep Learning for Production Forecast in Tight Reservoirs

Nguyen T. Le, Roman J. Shor, Zhuoheng Chen

Unconventional Resources Technology Conference (URTEC)

... to the considerable depth of credit assignment path (CAP) achievable by deep learning (Schmidhuber, 2015). CAP represents the chain of transformations...

2021

Chapter 2: Introduction—Coal Geology, Mining History, and Assessment Methodology and Results for the Gulf of Mexico Coastal Plain Region

Peter D. Warwick, Robert W. Hook, John R. SanFilipo

AAPG Special Volumes

.... Warwick, and J. R. SanFilipo, 2000, Preliminary Gulf Coast coalbed methane exploration maps: Depth to Wilcox, apparent Wilcox thickness and vitrinite...

2011

Use of Natural Gas and Natural-Gas Products in the Manufacture of Petrochemicals

George P. Bunn

AAPG Special Volumes

...., 1954, Carbon black: Phillips Chemical Co. Bull. P-10. Studebakor, M. L., 1957, Chemistry of carbon black and reinforcement: Am. Chem. Soc., Rubber...

1968

Production Forecasting for Shale Gas Well in Transient Flow Using Machine Learning and Decline Curve Analysis

Dongkwon Han, Sunil Kwon, Hanam Son, Janghyun Lee

Unconventional Resources Technology Conference (URTEC)

... extracts a certain pattern by judging similarity of data that are given without results. Reinforcement learning is an algorithm that maximizes a long...

2019

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