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The AAPG/Datapages Combined Publications Database

Showing 15,701 Results. Searched 201,044 documents.

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Abstract: Broadband 3D Land Data Benefits in Seismic Imaging and Interpretation; #90286 (2017)

Luis Giroldi, Ayman Suleiman, Mukarram Ahmed

Search and Discovery.com

... of delineation and exploration wells in terms of reservoir presence and quality prediction, as well as for pre-drill prediction of hydrocarbon presence...

2017

Abstract: Overcoming Challenges in Pore Pressure Prediction and Wellbore Stability in Ultra Deepwater Exploration Well Campaign in Brunei; #90294 (2017)

Amitava Ghosh, M Faiz Rasli, M. Razali Paimin, M. Mizuar Omar, Herry Maulana

Search and Discovery.com

...Abstract: Overcoming Challenges in Pore Pressure Prediction and Wellbore Stability in Ultra Deepwater Exploration Well Campaign in Brunei; #90294...

2017

Abstract: An Integrated Method of Tight Carbonate Reservoir Prediction and Hydrocarbon Detection; #90294 (2017)

Zuo Guoping, Fan Guozhang, Shao Dali

Search and Discovery.com

...Abstract: An Integrated Method of Tight Carbonate Reservoir Prediction and Hydrocarbon Detection; #90294 (2017) Zuo Guoping, Fan Guozhang, Shao Dali...

2017

Abstract: The "ELLa GRA Process - Concepts and Methods for the Prediction of Reservoir Hydrocarbon Type Using Ratios of Gas Chromatography C1-C5 Gases"; #90301 (2017)

Raymond M. Pierson

Search and Discovery.com

...Abstract: The "ELLa GRA Process - Concepts and Methods for the Prediction of Reservoir Hydrocarbon Type Using Ratios of Gas Chromatography C1-C5...

2017

Abstract: Carbonate Facies Prediction Using Seismic Inversion Technique: An Integrated Reservoir Characterization Approach; #90318 (2018)

Jawwad Ahmad

Search and Discovery.com

...Abstract: Carbonate Facies Prediction Using Seismic Inversion Technique: An Integrated Reservoir Characterization Approach; #90318 (2018) Jawwad...

2018

Abstract: Multi-Attribute Porosity Estimation from 3D-Seismic Data; #90319 (2018)

Rahul Jain

Search and Discovery.com

... is to develop a prediction model for the determination of porosity volume from 3D-seismic data and hence, assist in detailed reservoir...

2018

Abstract: Rock Typing and Characterization of Carbonate Reservoirs; #90319 (2018)

Shaikha F. Turkey

Search and Discovery.com

... East Kuwait area and implementation of the RRT to the permeability prediction within the field. Integration of the thin sections, porosity-permeability...

2018

Abstract: Evaluating Seal Integrity Using Dynamic Poissons Ratio and Youngs Modulus;

Zakiyah Alkhadrawi, Maitham Alabbad

Search and Discovery.com

... to define brittle and ductile intervals within the potential seal section. Moreover, correlating calculated wellbore curves enabled the prediction...

Unknown

Abstract: Machine Learning Application for Shear Velocity Prediction in Unconventional Reservoirs; #91206 (2023)

Nassim Bouabdallah, Abdeldjalil Latrach, Aimene Aihar

Search and Discovery.com

...Abstract: Machine Learning Application for Shear Velocity Prediction in Unconventional Reservoirs; #91206 (2023) Nassim Bouabdallah, Abdeldjalil...

2023

Abstract: Horizontal Stress Prediction Using Seismic Velocities Based on Convolutional Neural Network; #91206 (2023)

Fatemeh Saberi, Esmael Makarian, Ayub Elyasi, Tomomewo Stanley Olusegun

Search and Discovery.com

...Abstract: Horizontal Stress Prediction Using Seismic Velocities Based on Convolutional Neural Network; #91206 (2023) Fatemeh Saberi, Esmael Makarian...

2023

Hydraulic Fracture Modeling and the Road to Prediction - A Finite Element Approach; #41777 (2016)

Jason Pitcher, Johannes Will

Search and Discovery.com

...Hydraulic Fracture Modeling and the Road to Prediction - A Finite Element Approach; #41777 (2016) Jason Pitcher, Johannes Will PS Hydraulic Fracture...

2016

Application of 3

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Interactive 3D fault prediction using a weighted 2D-CNN and multidirectional 3D-CNN

Jesse Lomask, Samuel Chambers

International Meeting for Applied Geoscience and Energy (IMAGE)

...Interactive 3D fault prediction using a weighted 2D-CNN and multidirectional 3D-CNN Jesse Lomask, Samuel Chambers Interactive 3D fault prediction...

2022

A Novel Approach for Integrated Sanding Prediction: Case Study AR Field Development, Block-A Project

Farid Ghozali, Yulywanto, Pipin Ariyanto, Danny Hutagalung, Tri Atmojo Priyantoro, Anak Agung Iswara, Maranu Ricardo

Indonesian Petroleum Association

...A Novel Approach for Integrated Sanding Prediction: Case Study AR Field Development, Block-A Project Farid Ghozali, Yulywanto, Pipin Ariyanto, Danny...

2014

3D anisotropic seismic simulation for fracture prediction in Sichuans Wufeng shale gas reservoirs

Xiang Li, Ziduo Hu, Chunhui Xie, Yancan Tian, Wei Liu, Xinyu Fang, Gang Yao

International Meeting for Applied Geoscience and Energy (IMAGE)

...3D anisotropic seismic simulation for fracture prediction in Sichuans Wufeng shale gas reservoirs Xiang Li, Ziduo Hu, Chunhui Xie, Yancan Tian, Wei...

2024

Elastic Dislocation Modelling of Fractures in the Carboniferous Limestone: East Midlans, UK; #10225 (2010)

Peter Boult, Brett Freeman, and Graham Yielding

Search and Discovery.com

... dislocation theory, prediction of fracture type and orientation were then modelled by assuming that fracturing within the limestone was predominantly caused...

2010

Expert Systems for Gas Production Prediction from Hydraulically Fractured Horizontal Wells based on Different Hydraulic Fracture Representations; #41152 (2013)

Nithiwat Siripatrachai, Kanin Bodipat, and Turgay Ertekin

Search and Discovery.com

...Expert Systems for Gas Production Prediction from Hydraulically Fractured Horizontal Wells based on Different Hydraulic Fracture Representations...

2013

Gas Field Production Data Analysis: The Truth, the Whole Truth and Nothing but the Whole Truth, #42550 (2020).

Christopher Evans,

Search and Discovery.com

... July 20, 2020 *Adapted from oral presentation given at 2019 AAPG Asia Pacific Technical Symposium, The Art of Hydrocarbon Prediction: Managing...

2020

Reservoir Fluid Data Acquisition Using Advanced Mud Logging Gas in Shale Reservoirs

Tao Yang, Ibnu Hafidz Arief, Martin Niemann, Marianne Houbiers

Unconventional Resources Technology Conference (URTEC)

... components (C1-C5), but no information of oil components (e.g. C7+). Therefore, the quantitative prediction of reservoir fluid properties from mud gas...

2019

Seismic Quantitative Analysis for Physical-Based Deep Learning: The Teapot Dome and Niobrara Shale Examples

Nicolas Martin, Maria Donati

Unconventional Resources Technology Conference (URTEC)

... for deep neural classification and prediction. Some examples from Teapot Dome and Niobrara Shale are included to support the use of well-known QA techniques...

2020

Validating machine learning-based seismic property prediction through self-supervised seismic reconstruction

Tao Zhao, Haibin Di, Aria Abubakar

International Meeting for Applied Geoscience and Energy (IMAGE)

...Validating machine learning-based seismic property prediction through self-supervised seismic reconstruction Tao Zhao, Haibin Di, Aria Abubakar...

2022

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