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...

Hybrid Physics and Data-Driven Modeling for Unconventional Field Development … Onshore US Basin Case Study

Jaeyoung Park, Akhil Datta-Gupta, Ajay Singh, Sathish Sankaran

Unconventional Resources Technology Conference (URTEC)

..., respectively. The default setting for multi-layer perceptron regressor was one hidden layer with 100 nodes. Table 2. Machine leaning algorithm types...

Abstract: Case Study of Seismic Exploration in Complex Urban Areas; #91204 (2023)

Nie MT, Saif Al Mesaabi, Ye PP, Guo SL, Wei T, Su ZQ

Search and Discovery.com

... distance calibration Based on the principle of seismic exploration, the near offset pair describes the shallow layer information, and the far offset pair...

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...

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...

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...

Improving total organic carbon estimation for unconventional shale reservoirs using Shapley value regression and deep machine learning methods

Jaewook Lee, David E. Lumley, and Un Young Lim

AAPG Bulletin

... hidden layer (Hampson et al., 2001), and the DFNN, with more than five hidden layers (Montúfar et al., 2014). In general, a deep neural network...

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...

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...

Influence of Sediment Properties on Low-Frequency Electric-Joule-Heating Process in Class 1 Hydrate Deposits

Ermeng Zhao, Jian Hou, Yunkai Ji, Lu Liu, Yongge Liu

Unconventional Resources Technology Conference (URTEC)

..., so more heat can be provided for hydrate decomposition. Figure 4—Effect of hydrate saturation on EER and energy flow. Effect of hydrate layer...

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...

Mechanically-Partitioned Deformation Related to Reactivated Oblique Slip Faults, Pecos River Canyon

Gordon Smith, Chris Zahm, Charles Kerans

GCAGS Journal

... layer. Diagenesis and porosity are identified as controls on fracture development. Specifically, the degree of dolomitization has a direct effect...

The Role of Authigenic Clays in Some Reservoir Characteristics of the Basal Belly River Sandstone, Pembina Field, Alberta

C.J. Iwuagwu, J.F. Lerbekmo

CSPG Bulletin

... error increases with decreasing grain size and sorting, and with increasing grain irregularity (Halley, 1978). Halley's curve for edge-effect hidden pore...

Some Shallow Tectonic Consequences of Subduction and Their Meaning to the Hydrocarbon Explorationist: Hydrocarbons

Peter A. Montecchi

AAPG Special Volumes

... of obvious compressive origin which was entirely hidden by the diffraction patterns in the original data; thus they implicitly validate our velocity...

Methodology for Enhancing and Evaluating Geologic Effects of Time Series Models: A Case of Ground Response in Santa Clara Valley, California, #41097 (2012)

Olusola Samuel-Ojo, Lorne Olfman, Linda A. Reinen, Arjuna Flenner, David D. Oglesby, Gareth J. Funning

Search and Discovery.com

... of inputs and first-layer weights (vij) are used to determine whether the hidden neuron activation function g(hj) fires or not. The activation functions...

Transfer Learning with Recurrent Neural Networks for Long-term Production Forecasting in Unconventional Reservoirs

Syamil Mohd Razak, Jodel Cornelio, Young Cho, Hui-Hai Liu, Ravimadhav Vaidya, Behnam Jafarpour

Unconventional Resources Technology Conference (URTEC)

... the weights to be learned, 𝑁/ is the number of hidden nodes of the dense layer, and 𝒃/ ∈ 𝑅&% ×# represents the bias term. Leaky-ReLU is used...

Prestack Depth Migration for "Easy" Unconventional Plays?, #41056 (2012)

Morgan Brown

Search and Discovery.com

... three key reasons for (re)considering PSDM: 1) Remove false time structures caused by lateral variations in velocity. The ‘fault shadow’ effect...

Rethinking Brittleness — How Viscoplastic Stress Relaxation Affects Layer-to-Layer Stress Variations and Vertical Hydraulic Fracture Propagation in Unconventional Reservoirs

Search and Discovery.com

Ground Surface Monitoring for CO2 Injection and Storage

Saeed Salimzadeh, Dane Kasperczyk, Zuorong Chen, Abbas Movassagh, Elaheh Arjomand, Wen Shen (Vincent) Mow, James Kear

Australian Petroleum Production & Exploration Association (APPEA) Journal

... and can alert operators to the existence of hidden faults or fractures which may necessitate redesign of the injection schedule or remediation...

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...

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...

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...

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...

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...

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...