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The AAPG/Datapages Combined Publications Database
Showing 34,455 Results. Searched 200,293 documents.
Demystifying Data-Driven Neural Networks for Multivariate Production Analysis
Ayush Rastogi, Karn Agarwal, Ely Lolon, Mike Mayerhofer, Oladapo Oduba
Unconventional Resources Technology Conference (URTEC)
... with a single hidden layer having 10 neurons is designed with all predictors as input layer neurons. According to Hastie (2001), it is good practice...
2019
State of the Art Logging Selection to Explore Tight, Low Contrast, Hidden Reservoirs
Anton Setyo Kristanto,Tino Diharja, Rinaldi Sudarwoto, Hengky Ng, Leonora Ludwina Lilasari, Defri W. Widiyanto, Rio Putra
Indonesian Petroleum Association
...State of the Art Logging Selection to Explore Tight, Low Contrast, Hidden Reservoirs Anton Setyo Kristanto,Tino Diharja, Rinaldi Sudarwoto, Hengky Ng...
2018
TOC Prediction Analysis of Utica-Point Pleasant Formations in the Appalachian Basin, #51283 (2016).
Guochang Wang, Alireza Shahkarami, Jonathan Bruno
Search and Discovery.com
... the core-measured TOC values from core and the densitypredicted TOC are large. Meanwhile, it is hard to differentiate the effect of porosity...
2016
Unlocking Subsurface Hidden Potential in Tempino Mature Field: Opportunity and Challenge
Reza Rahadian, Herbert Sipahutar, Heru Pratama, M. Rinno Odipyansah Mazani, Reza Alfajri
Indonesian Petroleum Association
...Unlocking Subsurface Hidden Potential in Tempino Mature Field: Opportunity and Challenge Reza Rahadian, Herbert Sipahutar, Heru Pratama, M. Rinno...
2022
Estimate Dewatering Time on Vertical Coalbed Methane (CBM) Well as Function of Reservoir and Coal Properties using Artificial Neural Network
Priska Andini, Ade Anggi Naluriawan Santoso, Yana Wicaksana
Indonesian Petroleum Association
... into 229 training data, 53 validation data, and 53 testing data. The best ANN structure was selected with one layer of seven input, two hidden layers...
2014
Abstract: Performance of Seismic Arrays in the Presence of Weathering Layer Variations; #90254 (2016)
Jubran Akram, Abdullatif A. Al-Shuhail
Search and Discovery.com
...Abstract: Performance of Seismic Arrays in the Presence of Weathering Layer Variations; #90254 (2016) Jubran Akram, Abdullatif A. Al-Shuhail AAPG...
2016
Kriging-based surrogate models for convergence acceleration of Markov chains: An example of magnetotellurics-dix joint inversion
Alejandro Quiaro, Mauricio D. Sacchi
International Meeting for Applied Geoscience and Energy (IMAGE)
... iterations. The posterior sampling is done based on the Metropolis-Hastings rule. A synthetic example that exhibits a hidden resistive layer is chosen...
2024
Petroleum Geologist and Exploration Geophysicist: Co-Ordination and Seismic Velocity
John D. Hale
CSPG Bulletin
... some effect on the velocity gradient. Examples are volcanic basalt flows and chert zones. 6. The presence of an extremely porous layer within...
1956
Abstract: Prediction of Rock Properties Using Well Logs, Seismic Attributes, and Neural Networks
James S. Schuelke, John A. Quirein, and Jorge A. Pita
Houston Geological Society Bulletin
..., optimize the network parameters, and estimate the performance of the system to predict hidden representative data. Comprehensive statistical methods...
1998
Exploration Geologist in the Seventies: ABSTRACT
Michel T. Halbouty
AAPG Bulletin
... and change for the petroleum industry, not only in the United States, but throughout the world. These conditions will have a significant effect...
1970
Abstract: Exploration Challenges Ahead; #90307 (2017)
R. P. Koesoemadinata
Search and Discovery.com
... Region Technical Symposium, Hidden Potential in Mature Basins: Play Analogs and Best Practices, Bandung, Indonesia, September 13-14, 2017 Exploration...
2017
Integrated Interpretation of Microseismic and Seismic Data in a Tight Sandstone Reservoir
Jinling Du, Jing Zhang, Gang Xu, Xiaoping Wan, Xiaoping Sun
Unconventional Resources Technology Conference (URTEC)
... 1 is a seismic profile connecting three wells, among which well A and well B with relatively lower productivity comparing to well C. The target layer...
2015
Crossing conjugate normal faults in field exposures and seismic data
David A. Ferrill, Alan P. Morris, Ronald N. McGinnis
AAPG Bulletin
..., D. A., A. P. Morris, D. W. Sims, D. J. Waiting, and S. Hasegawa, 2005, Development of synthetic layer dip adjacent to normal faults, in R. Sorkhabi...
2009
The Makran Continental Margin: Structure of a Thickly Sedimented Convergent Plate Boundary: Convergent Margins: Field Investigations of Margin Structure and Stratigraphy
Robert S. White, Keith E. Louden
AAPG Special Volumes
... the maximum thickness of a hidden layer of assumed velocity 6.8 km/sec, which yields the velocity structure depicted in Figure 6b. Figures...
1982
ABSTRACT: Geostatistical Simulation of Electrical Double-Layer Properties of Clay Minerals in Shaly Sand Reservoirs (Cliff Heads Oil Field, Perth Basin, Western Australia); #90061 (2006)
Justin O. Ugbo
Search and Discovery.com
... the Cliff Heads 3, 4 and 6. Overall, the approach is useful and time saving in assessing the effect of the double layer properties of clay minerals...
2006
Indirect Estimation of Fluid Transport and Rock Mechanical Properties from Elemental Compositions: Implications for Sweet Spot Identification in the Montney Formation (Canada)
A. Ghanizadeh, B. Rashidi, C.R. Clarkson, A. Vahedian, C.P. Vocke, A.R. Ghanizadeh
Unconventional Resources Technology Conference (URTEC)
...) Perm = f (MH, EC) Perm = f (UCS, EC) 224 237 224 Number of Neurons 1st Hidden Layer 2nd Hidden Layer 30 8 26 3 14 1 Transfer Function Hidden Layers...
2017
Hidden Trends and Subtle Traps in Gulf Coast
Michel T. Halbouty
AAPG Bulletin
...Hidden Trends and Subtle Traps in Gulf Coast Michel T. Halbouty 1969 3 29 53 1. (January) Most of the easy-to-find petroleum accumulations...
1969
Application of artificial intelligence for simultaneous water and gas coning problems in hydraulically fractured tight oil reservoir
Mihir Kumar
International Meeting for Applied Geoscience and Energy (IMAGE)
..., each representing essential parameters, namely ln(kf×w), kv/kh, ρo-ρg, ρw- ρo, and ln(FCD). A single hidden layer follows, boasting ten neurons...
2023
Kronecker neural networks for the win: Overcoming spectral bias for PINN-based wavefield computation
Umair bin Waheed
International Meeting for Applied Geoscience and Energy (IMAGE)
... of the outputs w.r.t. the inputs. Therefore, we consider a shallow network consisting of merely two hidden layers with 100 neurons in each layer...
2022
Fracture Characterization of Carbonate Reservoir Using Integrated Sequential Prediction of Artificial Neural Network: Case Study of Salawati Basin Field
Bagus Endar B. Nurhandoko, Nana Djumhana, Khairil Iqbal, Isnaini Rahman, Susilowati, Yoga Hariman
Indonesian Petroleum Association
... as shown by hidden, see Figure 1a. By training procedure, the hidden layer (or knowledge layer) are processed when the output data are known. After...
2012
Machine Learning Based Decline Curve - Spatial Method to Estimate Production Potential of Proposed Wells in Unconventional Shale Gas Reservoirs
Y. Kocoglu, M. E. Wigwe, G. Sheldon, M. C. Watson
Unconventional Resources Technology Conference (URTEC)
... normalization was applied between the hidden layers and the activation layers. The values in the neurons of the next layer are calculated via the given...
2020
Flume Experiments on the Transport of Heavy Minerals in Gravel-Bed Streams
Roger A. Kuhnle , John B. Southard
Journal of Sedimentary Research (SEPM)
... minerals became concentrated into a thin layer (the heavy infralayer) composed of nearly 100% heavy minerals lying beneath a thin surficial layer...
1990
MaxG and MaxBHT Basin Temperature Modelling Using Bottom Hole Temperature Datasets
Ian Deighton, Erika Tibocha, Pete Dotsey
Unconventional Resources Technology Conference (URTEC)
... with Figure 5 Figure 14: Offset graphs for the Wolfcamp layer, showing the effect of varying Tertiary erosion. With no erosion (0m), the offset data is too...
2014
De-risking Saline Aquifer-Type CO2 Storage Resources Via Machine Learning-based Reservoir Modelling. Case Study, Bunter Sandstone Formation, Southern North Sea
Edwin Tillero, Jose L. Mogollon, Francisco Tillero
Carbon Capture, Utilization and Storage (CCUS)
... learning (ML) techniques are artificial neural networks (ANN) [2,11,12]. In general, ANN consists of an input layer, one or more hidden layers, an output...
2024
Mechanical stratigraphy and faulting in Cretaceous carbonates
Alan P. Morris, David A. Ferrill, Ronald N. McGinnis
AAPG Bulletin
...) impede the propagation of fault tips until some threshold displacement is reached and the weak layer can be breached. This effect causes clustering...
2009