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The AAPG/Datapages Combined Publications Database

Showing 30,606 Results. Searched 187,807 documents.

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Application of Common Contour Binning (CCB) and Back Propagation Neural Network (BPNN) for Oil Water Contact Prediction in Carbonate Reservoir (The Case Study at G404 Field)

Wahyu Tri Sutrisno, Septian Prahastudhi, Ayi Syaeful Bahri, Yulia Putri Wulandari

Indonesian Petroleum Association

... networks have an input, an output and generally a hidden layer. The number of inputs and outputs are determined by considering the characteristics...

2013

Feasibility of Moment Tensor Inversion From a Single Borehole Data Using Artificial Neural Networks; #42212 (2018)

Oleg Ovcharenko, Jubran Akram, Daniel Peter

Search and Discovery.com

... evaluation. We also investigate the effect of number of hidden layers and choice of optimization algorithm on the accuracy of inverted results. Our results...

2018

Fault zone deformation and displacement partitioning in mechanically layered carbonates: The Hidden Valley fault, central Texas

David A. Ferrill, Alan P. Morris, Ronald N. McGinnis, Kevin J. Smart, William C. Ward

AAPG Bulletin

... than the footwall (see for example, Figures 6B, D; 7). Layer dips in the hanging-wall damage zone are generally 10 or less and synthetic to the Hidden...

2011

Forecasting Coalbed Methane Resources by Artificial Neural Network; #80335 (2013)

Yuping Yang, Jianhua Zhong, and Gangshan Lin

Search and Discovery.com

... layer, the hidden layer and the output layer. The neurons of the input layer are the known index numbers of the samples, and the neurons of the output...

2013

Supervised Learning Applied to Rock Type Classification in Sandstone Based on Wireline Formation Pressure Data; #42539 (2020)

Jose Victor Contreras

Search and Discovery.com

..., hidden, and output layers, which are chained together and where each layer has several neurons. The loss function, which defines the feedback signal used...

2020

A three-component field study of the effect of the low-velocity layer on converted-wave seismic data

Dan Cieslewicz, Don C. Lawton

CSPG Special Publications

...A three-component field study of the effect of the low-velocity layer on converted-wave seismic data Dan Cieslewicz, Don C. Lawton 1998 217 220...

1998

ABSTRACT: NEURAL NETWORK-BASED COAL ACTIVITY SAFETY STANDARDIZATION ANALYSIS

Fei WU

The Society for Organic Petrology (TSOP)

... Input layer Hidden layer U1 Output layer O1 U2 O2 U3 Y O3 U4 Figure. 3. The 3-Layer BP Network Topology for Safety Standard Normalize safety...

2006

Hidden Structure Revealed by a Simple 3D Velocity Model - McAllen Ranch Field, Hidalgo County, Texas

Richard C. Bain

GCAGS Transactions

...Hidden Structure Revealed by a Simple 3D Velocity Model - McAllen Ranch Field, Hidalgo County, Texas Richard C. Bain Hidden Structure Revealed...

2010

ANN Method, A New Approach to Find Potential Bypass Zones in Mature Semberah Field, East Kalimantan

Gunna Satria H. Kusumah, Robhy C. Permana, Ridha S. Riadi, Yoseph R. Apranda

Indonesian Petroleum Association

... by the red blocks in Figure 9. ANN Model Optimization and Validation In order to acquire the optimal ANN model, several configurations of hidden layer...

2018

Artificial Neural Networks for Corrosion Rate Prediction in Gas Pipelines

Sumarni, Deden Supriyatman, Kuntjoro Adjie Sidarto, Rochim Suratman, Rinaldy Dasilfa

Indonesian Petroleum Association

...), four hidden layers and one output layer (contains one node). The output layer is corrosion rate (see Figure 1). Data Processing Data sets were...

2012

Coalbed Methane Production Parameter Prediction and Uncertainty Analysis of Coalbed Methane Reservoir with Artificial Neural Networks

Harry Ramadhan Sumardi, Dedy Irawan

Indonesian Petroleum Association

... HIDDEN LAYER. TABLE 3B. NEURAL NETWORK DESIGN RESULT FOR DOUBLE HIDDEN LAYER. (a) 1 Hi dden La yer Neura l  Network Archi tecture (Log‐Log) [9‐3‐1] [9‐4...

2016

Some Applications and Problems of the Seismic Refraction Technique in Civil Engineering Projects in Malaysia

B. K. Lim, S. J. Jones

Geological Society of Malaysia (GSM)

... surveys. Green (1962) showed that even if the velocity of each layer increases with depth, the intermediate layer would be hidden if the thickness...

1982

Fault displacement gradients on normal faults and associated deformation

Alan P. Morris, Ronald N. McGinnis, and David A. Ferrill

AAPG Bulletin

...-scale normal fault. Antonellini M. Aydin A. , 1994 , Effect of faulting on fluid flow in porous sandstones: Petrophysical properties : AAPG Bulletin...

2014

Prediction of Fracture Porosity from Well Log Data by Artificial Neural Network, Case Study: Carbonate Reservoir, DEPOKŽ Field

Okok Wijaya, Pebrian Tunggal P, Ahmat Dafit Hasim, Depta Mahardika, Sungkono, Bagus Jaya S

Indonesian Petroleum Association

... ability of a biological brain. Neural network modeling consists of three main parameters, input layer, hidden layer and output layer. The hidden layer...

2015

Abstracts: The Gasport Dolomite in the Vicinity of Hamilton, Ontario

Ernest S. Spurgeon

CSPG Bulletin

... Gasport Dolomite member was studied in the Hamilton area. In spite of the masking effect of dolomitization, the stratigraphic relations and results...

1965

Storage Tank: A Hidden Bomb in Oil and Gas Installation

Orig Setianto Hartoyo, Herry Suprapto

Indonesian Petroleum Association

...Storage Tank: A Hidden Bomb in Oil and Gas Installation Orig Setianto Hartoyo, Herry Suprapto IPA17-281-F PROCEEDINGS, INDONESIAN PETROLEUM...

2017

Innovative Deep Autoencoder and Machine Learning Algorithms Applied in Production Metering for Sucker-Rod Pumping Wells

Peng Yi, Xiong Chunming, Zhang Jianjun, Zhang Yashun, Gan Qinming, Xu Guojian, Zhang Xishun, Zhao Ruidong, Shi Junfeng, Liu Meng, Wang Cai, Chen Guanhong

Unconventional Resources Technology Conference (URTEC)

... dynamometer card are selected in the model. These handcrafted features for predicting the well production could lose important and hidden information about...

2019

Abstract: Feasibility of Moment Tensor Inversion for a Single-Well Microseismic Data Using Neural Networks; #90319 (2018)

Oleg Ovcharenko, Jubran Akram, Daniel Peter

Search and Discovery.com

... velocity model. The trained network is then applied on another set of synthetic data for performance evaluation. Furthermore, we investigate the effect...

2018

Abstract: Extending Kencanaloka Field Production by Developing a Hidden Potential of Eocene Carbonate Gas Reservoir, a Case Study of K-85 Zone in Kencanaloka Field, Offshore North West Java; #90307 (2017)

Icuk Dwi Wibowo, Sobani, Linda Fransiska, Mery Luciawaty

Search and Discovery.com

...Abstract: Extending Kencanaloka Field Production by Developing a Hidden Potential of Eocene Carbonate Gas Reservoir, a Case Study of K-85 Zone...

2017

Niobrara Horizontal Well Planning and Execution: The Other Half of the Equation

Jack Wiener, Mohamed Elfedawy

Unconventional Resources Technology Conference (URTEC)

...) an output layer, (3) and a hidden layer. The main differences between RBF networks and traditional artificial neural networks (ANNs) is that RBF...

2013

Biogeochemistry for Future Mineral Resource Exploration Programs in the Central American-Caribbean Region

Frederick R. Siegel, Alfonso Segura Paguaga

Circum Pacific Council Publications

... the volume of a soil sample. Vegetation geochemistry also avoids the "nugget effect" that may be associated with soil samples in gold exploration programs...

1995

Polarising Pyrite

Paul Wood

GEO ExPro Magazine

...Polarising Pyrite Paul Wood Technology Explained Polarising Pyrite PAUL WOOD Norwegian company ORG Geophysical aims to find previously hidden...

2014

Reconnaisance Electrical Survey for Geothermal Exploration in the Poring Hot Spring, Ranau, Sabah

Sahat Sadikun, Muhd. Barzani Gasim, Umar Hamzah

Geological Society of Malaysia (GSM)

... to the east and southeast of the hot springs did not detect any low resistivity layer. INTRODUCTION Although electrical methods have been applied...

1992

erformance of Seismic Arrays in the Presence of Weathering Layer Variations, #41841 (2016).

Jubran Akram, Abdullatif A. Al-Shuhail

Search and Discovery.com

... traveling signal. We investigate the effect of variations in the near-surface layer thickness on the performance of arrays by studying their impulse...

2016

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