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The AAPG/Datapages Combined Publications Database

Showing 56,362 Results. Searched 200,636 documents.

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Unthinkable Physical Analogs for the Modern Concepts on Continental Stretching and Rupturing; #41128 (2013)

Pedro Victor Zalan

Search and Discovery.com

... started to physically model the rupturing and breaking of materials possessing a rheo logical behavior close to the upper lithosphere...

2013

Simultaneous Inversion for Microseismic Event Location and Velocity Model in Vaca Muerta Formation

Zhishuai Zhang, Jing Du, Fuchun Gao

Unconventional Resources Technology Conference (URTEC)

... by the forthcoming simultaneous inversion in Figure 5. Thus, we use this relocation result with the provided velocity model as a representation of the result...

2017

Abstract: Real-Time Waterflood Reservoir Management using Key Performance Indicators in Smart Fields; #90242 (2015)

C. (Cenk) Temizel, Suryansh Purwar, Karelis Urrutia, Azer Abdullayev, and Jessica Fry

Search and Discovery.com

... intelligent well chokes for various optimization and uncertainty scenarios using a model of wells under rate and pressure-constraint simulations and parameters...

2015

Velocity model building with a time shift objective function: Gulf of Mexico examples

Yi Yang, Ken Matson, Tadas Krupovnickas, Mark Huiskes, Rene-Edouard Plessix, Sijmen Gerritsen

International Meeting for Applied Geoscience and Energy (IMAGE)

...Velocity model building with a time shift objective function: Gulf of Mexico examples Yi Yang, Ken Matson, Tadas Krupovnickas, Mark Huiskes, Rene...

2022

Reconditioning Seismic Data for Improved Reservoir Characterization, Lower Clear Fork and Wichita, Fullerton Field, West Texas

Hongliu Zeng, Stephen C. Ruppel, Rebecca H. Jones

West Texas Geological Society

... data for impedance representation, roughly linking seismic amplitude directly to log lithology and porosity. High-frequency enhancement raises...

2003

Deep learning software accelerators for full-waveform inversion

Sergio Botelho, Souvik Mukherjee, Vinay Rao, Santi Adavani

International Meeting for Applied Geoscience and Energy (IMAGE)

... is the use of (deep) neural networks, which have proven to be capable of learning complex non-linear relationships between the velocity model...

2022

Machine learning and explainable AI for predicting missing well log data with uncertainty analysis: A case study in the Norwegian North Sea

Sushil Acharya, Karl Fabian

International Meeting for Applied Geoscience and Energy (IMAGE)

..., followed by PCR and PLSR. Linear regression provides a baseline model for predicting DTC logs. PCR and PLSR are utilized to explore the potential...

2024

Geological Observations and Parameterizations

Marten A. Perlmutter, Poppe L. De Boer, James R. L. Syvitski

Special Publications of SEPM

... The discussions of this group which was intermittently composed of a combination of model building model using and nonmodeling geologists centered on the type...

1999

Joint Identification of Lithology and Lithofacies in Core Images Based on Deep Learning

Han Wang, Feifei Gou, Hanqing Wang, Shengjuan Cai

Unconventional Resources Technology Conference (URTEC)

... the lithology identification model. Two lithofacies recognition models are trained for different lithology types. For a core image, the lithology is first...

2025

Computing permeability of fault zones in eolian sandstone from outcrop measurements

Herve Jourde, Eric A. Flodin, Atilla Aydin, Louis J. Durlofsky, Xian-Huan Wen

AAPG Bulletin

.... 315-322. Flodin, E. A., A. Aydin, L. J. Durlofsky, and B. Yeten, 2001, Representation of fault zone permeability in reservoir flow models: Society...

2002

Geomechanical Modeling to Optimize Completions in Sand Prone Wells

Frank Wijnands, Leo Anis

Indonesian Petroleum Association

... With a Mechanical Earth Model (MEM) the sanding tendency of the reservoir can be evaluated. The MEM allows comparison of sand production tendency for various...

2007

A Physics-informed Machine Learning Workflow to Forecast Production in a Fractured Marcellus Shale Reservoir

Michael R. Gross, Jeffrey D. Hyman, Shriram Srinivasan, Daniel O’Malley, Satish Karra, Maruti K. Mudunuru, Matthew Sweeney, Luke Frash, Bill Carey, George D. Guthrie, Tim Carr, Liwei Li, Dustin Crandall, Hari Viswanathan

Unconventional Resources Technology Conference (URTEC)

... by incorporating observations from core, image logs and microseismic events. The ML inverse model takes the form of an artificial neural net that can...

2021

Rethinking power density for geothermal resource estimation

R. Chadwick Holmes, and Laura Huebner

AAPG Bulletin

... the need for a more refined model than just a single-curve representation. Figure 2. (A) PD(Tr) plot with the power density (PD) “main sequence” curve...

2025

Conditioning Stratigraphic, Rule-Based Models with Generative Adversarial Networks: A Deepwater Lobe, Deep Learning Example; #42402 (2019)

Honggeun Jo, Javier E. Santos, Michael J. Pyrcz

Search and Discovery.com

... trend model, parameterized by gradients, orientations, mean, and standard deviation. Our deep learning-based, local data conditioning workflow consists...

2019

Fractured Basement Reservoir Characterization for Fracture Distribution, Porosity and Permeability Prediction; #41106 (2012)

Marie Lefranc, Sherif Farag, Laurent Souche, and Agnes Dubois

Search and Discovery.com

... representation based on physically measurable parameters (fracture orientation, length, aperture) and the means for upscaling is to a dual medium model...

2012

A Robust Gradient for Long Wavelength FWI Updates

Jaime Ramos-Martinez, Sean Crawley, Kathy Zou, Alejandro Valenciano, Lingyun Qiu, Nizar Chemingui, Andrew Long

Petroleum Exploration Society of Australia (PESA)

... misfit function, and the model update is computed as a scaled representation of its gradient. In the case of an isotropic acoustic medium, parameterized...

2016

Capturing Depositional Processes Using MPS Simulation with Multiple Training Images

Prasenjit Roy and Sebastien Strebelle

Search and Discovery.com

... proportion maps and curves, as well as variable azimuth fields, help build MPS facies models, providing a more accurate representation of the underlying...

Unknown

Differential Packing as a Possible Display of Bedding

W. D. Keller

Journal of Sedimentary Research (SEPM)

... can be displayed by only an alternation of packing patterns was demonstrated in the laboratory by an artificially deposited clastic "rock." A model...

1939

Abstract: Seismic Inversion in a Tight Gas Sand: An Illuminating Case Study; #90171 (2013)

David Close, David Cho, Frederik Horn, and Charles Wagner

Search and Discovery.com

... profiling allows a more detailed understanding and improved reservoir characterization. A 3D reservoir model based on all available well data...

2013

Abstract: Seismic Inversion in a Tight Gas Sand: An Illuminating Case Study; #90171 (2013)

David Close, David Cho, Frederik Horn, and Charles Wagner

Search and Discovery.com

... profiling allows a more detailed understanding and improved reservoir characterization. A 3D reservoir model based on all available well data...

2013

Great Bahama Bank … Part I: Evaluating Water-Depth Variation on a Flat-ToppedŽ Isolated Carbonate Platform, #50960 (2014)

Paul M. (Mitch) Harris, James Ellis, Sam Purkis

Search and Discovery.com

... of the Landsat mosaic, as water is black and land is shades of gray in Figure 4. The bathymetry depth model for GBB used the triangular irregular network (TIN...

2014

Resolving Multiphase Fractions in Horizontal Wells Using Speed of Sound Measured with Distributed Acoustic Sensors and a PVT Database

Peyman Moradi, Brian Seabrook, Neal Adair, Ricardo Garza

Unconventional Resources Technology Conference (URTEC)

... composition. To enhance the model accuracy, measurements of pressure, bulk velocity, and/or temperature at one or multiple points along the well can...

2024

Discrete Fracture Network Simulation of Production Data from Unconventional Wells

Thomas Doe, Chunmei Shi, Clifford, Knitter, Cristian Enachescu, Stefan Rohs

Unconventional Resources Technology Conference (URTEC)

..., the transitions occur very early in production, within a day or much less time. A DFN model provides a more realistic simulation of production from...

2014

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