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The AAPG/Datapages Combined Publications Database

Showing 12,693 Results. Searched 200,691 documents.

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Efficient Bayesian full-waveform inversion using a deep convolutional autoencoder prior

Shuhua Hu, Mrinal K Sen, Zeyu Zhao, Abdelrahman Elmeliegy, Shuo Zhang

International Meeting for Applied Geoscience and Energy (IMAGE)

... Inversion SUMMARY Predicted Model Field Seismic Data Model in Physical Domain Trained Decoder Gradient Backpropagation Gradient in Latent Space...

2024

ABSTRACT: Using Seismic Inversion to Map Sand Porosity / Quality in the Delaware Mountain Group, Eddy County, NM; #90129 (2011)

Jasha Cultreri

Search and Discovery.com

... to oil and gas shows on the mud log. Resolution of the inversion is compared to the well logs and to the wiggle trace seismic data. AAPG Search...

2011

Joint physics-based and data-driven time-lapse seismic inversion: Mitigating data scarcity

Yanhua Liu, Shihang Feng, Ilya Tsvankin, David Alumbaugh, Youzuo Lin

International Meeting for Applied Geoscience and Energy (IMAGE)

... to physics-based FWI methods, data-driven inversion employs a pseudoinverse operator F, which performs mapping from the input data to the model...

2022

Exploration Theory and Technology of Buried Hills in Western South Turgay Basin; #10682 (2014)

Qiyan Li, Mingjun Zhang, Jianjun Guo, Wei Yin, Xiaofeng Sheng

Search and Discovery.com

... rules for buried hills are developed. In the aspect of technology, prediction methods of hydrocarbon-bearing pools in the buried hills are proposed...

2014

Abstract: Basin Modeling in the Aid of Seismic Reservoir Characterization; #90257 (2016)

Wisam AlKawai, Tapan Mukerji, Allegra Hosford Scheirer, Stephan Graham

Search and Discovery.com

... of the basin modeling insight in terms of improving the representation of the training data and the quality of the inversion results...

Unknown

Simultaneous inversion of velocity and reflectivity for enhanced seismic imaging

Yang Yang, Sriram Arasanipalai, Nizar Chemingui, Neil Paddy, Nicholas Montevecchi, David McCallum

International Meeting for Applied Geoscience and Energy (IMAGE)

... and the modeling engine will produce the corresponding events. Introduction Geological Setting and Data Description Accurate velocity and reflectivity...

2022

Extended Abstract: Source Body Migration, an Approximate Inversion Method for Full Tensor Gravity Gradiometer Data

James Brewster, John Mims

GCAGS Transactions

...Extended Abstract: Source Body Migration, an Approximate Inversion Method for Full Tensor Gravity Gradiometer Data James Brewster, John Mims 2016 697...

2016

Seismically Driven Fractured Reservoir Characterization (Paper 4)

Abdel M. Zellou, Ahmed Ouenes, Gary Robinson, Udo Araktingi

Geological Society of Malaysia (GSM)

... the previous two methods, the CFM approach can integrate many seismic attributes, either post-stack or pre-stack, in the modeling process (Ouenes et ai...

2006

Abstract: APPLICATION OF RELATIVE ACOUSTIC IMPEDANCE INVERSION TO CONSTRAIN EXTENT OF E SAND RESERVOIR ON KADANWARI FIELD; #90148 (2012)

Ashley M. Francis and Fakhar H. Syed

Search and Discovery.com

...; [email protected]; [email protected] Both AVO modelling and acoustic impedance inversion studies have been undertaken recently on seismic data over...

2012

THE RENAISSANCE OF GRAVITY

Search and Discovery.com

N/A

Prediction of Porosity and Fluid Saturation from Full Stack Seismic Data Using Seismic Inversion and Neural Network Analysis, #42254 (2018).

Ahmed S. Ali, Hamed El-Mowafy, Ashraf Ali Hasan, Ali Khairy

Search and Discovery.com

...Prediction of Porosity and Fluid Saturation from Full Stack Seismic Data Using Seismic Inversion and Neural Network Analysis, #42254 (2018). Ahmed...

2018

AAPG Memoir 76, Chapter 19: The Future of Pressure Prediction Using Geophysical Methods

Alan R. Huffman

AAPG Special Volumes

.... The combination of robust effective-stress methods, prestack inversion, and advanced hydrogeologic modeling may allow pressure prediction to become...

2001

Abstract: Full Waveform Inversion with Phase Encoded Deconvolution Imaging Condition; #90224 (2015)

Wenyong Pan, Kris Innanen, and Gary Margrave

Search and Discovery.com

.... Introduction Full waveform inversion (FWI), formulated as a least-squares inverse problem, seeks to minimize the difference between the observed data...

2015

Abstract: Rock Physics and Reservoir Characterization of a Calcitic-Dolomitic Sandstone Reservoir; #90187 (2014)

H. Morris, E. Efthymiou, B. Hardy, and T. Kearney

Search and Discovery.com

... the data quality via seismic data conditioning and highlighting some of the benefits of using a sequential Gaussian inversion over more conventional...

2014

Semi-automated prestack seismic inversion workflow using temporal convolutional networks

Hussain Alfayez, Robert Smith, Ayman Suleiman, Nasher AlBinHasan

International Meeting for Applied Geoscience and Energy (IMAGE)

... AlBinHasan, Saudi Aramco Summary Seismic inversion is the process of transforming seismic data into subsurface rock properties. Recent applications...

2022

Robust multichannel prestack AVA inversion based on elastic L1/2 norm

Nanying Lan

International Meeting for Applied Geoscience and Energy (IMAGE)

... method is tested using synthetic seismic data with different signal-to-noise ratios. The results show that our method has higher inversion accuracy...

2023

Joint inversions with the SimPEG framework

Joseph Capriotti, Lindsey J. Heagy, Santiago Soler

International Meeting for Applied Geoscience and Energy (IMAGE)

... inversion methods, it requires designing an objective function that includes multiple data misfit measures, multiple regularizations functions...

2023

Abstract: Support Vector Machine (SVM)-based Geostatistical Inversion: An Integrated Solution to Honor Well-log Data and Seismic Attributes; #90171 (2013)

Yexin Liu

Search and Discovery.com

... characterization modeling. This paper will present our geostatistical inversion solution to honor well-log data and seismic attributes based on Support Vector...

2013

A Multidisciplinary Approach to Inversion Feasibility Analysis for an Unconventional Reservoir Characterization

Venkatesh Anantharamu, Lev Vernik, Yoryenys Del Moro, Alfonso Quaglia, Eduardo Carrillo

Unconventional Resources Technology Conference (URTEC)

... and inversion workflows. The process of performing seismic inversion consists of extracting elastic rock properties from seismic data with proper well...

2020

Smart stitching: adding lateral priors to ensemble inversions as a post-processing step

Gerhard Visser

Petroleum Exploration Society of Australia (PESA)

..., Australia [email protected] SUMMARY The last decade has seen extensive development of Bayesian geophysical inversion methods which produce...

2019

Abstracts: Constraining Geologic Models with Seismic Inversions; #90173 (2015)

John V. Pendrel, Sumon Bhattacharyya, and David Fowler

Search and Discovery.com

... to production history data. Introduction Geologic Modeling is an important precursor to reservoir flow simulation. The cells within such models...

2015

Abstract: 3-D Prestack Waveform Inversion - A Real Data Example; #90255 (2017)

Josiane Pafeng Tchuindjang, Subhashis Mallick, Hema Sharma

Search and Discovery.com

...Abstract: 3-D Prestack Waveform Inversion - A Real Data Example; #90255 (2017) Josiane Pafeng Tchuindjang, Subhashis Mallick, Hema Sharma AAPG...

2017

Abstract: Enhancing Pre-Stack Seismic Inversion Using Neural Networks for Clastic Reservoir Characterization … Simian Field, Offshore Nile Delta, Egypt; #90310 (2017)

Wael S. Said, Islam A. Mohamed, Ahmed S. Ali

Search and Discovery.com

... of full-stack seismic data and reduce the uncertainty as much as possible. The pre-stack inversion is a very powerful method to delineate the reservoirs...

2017

Next-generation Geological Model Updating and Ranking for Improved Oil Recovery; #41089 (2012)

Marko Maucec, Gustavo Carvajal, Ajay Singh, and Seyed Mirzadeh

Search and Discovery.com

...-generation Geological Modeling Model Parameterization and Reduction Model Inversion:  Multi-stage Markov chain Monte Carlo…  Validation  Dynamic...

2012

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