Welcome to the new Datapages Archives
Datapages has redesigned the Archives with new features. You can search from the home page or browse content from over 40 publishers and societies. Non-subscribers may now view abstracts on all items before purchasing full text. Please continue to send us your feedback at emailaddress.
AAPG Members: Your membership includes full access to the online archive of the AAPG Bulletin. Please login at Members Only. Access to full text from other collections requires a subscription or pay-per-view document purchase.
Welcome to the new Datapages Archives
Search Results > New Search > Revise Search
The AAPG/Datapages Combined Publications Database
Showing 5,071 Results. Searched 196,436 documents.
Abstract: Systematic Variations in Eagle Ford Shale Porosity and Pore Size Distribution Revealed by High Resolution Scanning Electron Microscopy Implications for Basin Modeling; #90310 (2017)
Mark J. Osborne
Search and Discovery.com
..., and which can be implemented in basin modelling software. To be predictive, such basin models need to be calibrated against observations from real shale...
2017
Abstract: LTRO Workflow for Fast Turnaround Field Optimisation Studies and Efficient Development Decisions; #90314 (2018)
Cristian Masini, Sergey Ryzhov, Dmitry Kuzmichev, Rina Bouy, Saeed Majidaie, Denis Malakhov
Search and Discovery.com
... with the forecast for the various infill scenarios using predictive analytics approach driven by neural network engine coupled with ROCM. To benchmark...
2018
Abstract: Analogs to Fluvial Reservoirs: What Factors are Important?;
Nigel Mountney, Luca Colombera
Search and Discovery.com
... contexts and controlling factors on deposition are important for analog selection, and which have highest predictive value, depending on the type...
Unknown
Three-Dimensional Fracture Pattern Predictions in Thrust-Related Anticlines by Hybrid Cellular Automata (HCA) Numerical Models
Search and Discovery.com
N/A
Rock Evolution on the Permeability-Porosity Plane: Data Sets and Models, by Philip H. Nelson, #90027 (2004)
Search and Discovery.com
2004
Application of Integrated Risk and Reliability Methods for Developing Equipment Maintenance Strategies
Jens Petter Tronskar, Franklin Benjamin Ratnam, Lee Chon Gee, Zhang Li
Indonesian Petroleum Association
... practice DNV RP G-101 “Risk Based Inspection of offshore topsides static mechanical equipment”. Safety Integrity Level (SIL) Process plants...
2005
A Study to Formulate Predictive Model and Screening Criteria for New EOR Method in Indonesia: Surfactant Huff n Puff Injection
Muhammad Romadhona, Karlita Threes Octaviany, Pomto Jaya
Indonesian Petroleum Association
...A Study to Formulate Predictive Model and Screening Criteria for New EOR Method in Indonesia: Surfactant Huff n Puff Injection Muhammad Romadhona...
2013
Abstracts: Using a 1D FX Predictive Filter for 3D Seismic Data Random Noise Attenuation; #90173 (2015)
Mike Galbraith, Zhengsheng Yao, and Randy Kolesar
Search and Discovery.com
...Abstracts: Using a 1D FX Predictive Filter for 3D Seismic Data Random Noise Attenuation; #90173 (2015) Mike Galbraith, Zhengsheng Yao, and Randy...
2015
Geomechanical Tools to Bolster Social License: Quantifying the Mechanical Effects of Faults on Induced Seismicity Potential
Nicholas M. Umholtz, Ahmed Ouenes
Unconventional Resources Technology Conference (URTEC)
... of such a model will provide a truly predictive tool to assess the risk of inducing a seismic event in any area where it is possible to leverage...
2016
Petrophysical Evaluation of Geomechanical Data in a Horizontal Well to Predict Problem Stages Using Process Zone Stress
Taylor Levon, Carrie Glaser
Unconventional Resources Technology Conference (URTEC)
... (e.g., bulk density (RhoB), porosity (PhiE) and shale volume (Vsh)). Common practice, which does not capture lateral reservoir heterogeneity, uses...
2019
Generating Missing Unconventional Oilfield Data using a Generative Adversarial Imputation Network (GAIN)
Justin Andrews, Sheldon Gorell
Unconventional Resources Technology Conference (URTEC)
... variable, or determine if it is the best practice to simply drop that sample of data. For example, if there is a row of data (sample) with 30 data...
2020
Predicting Permeability from Porosity Using Artificial Neural Networks
S. J. Rogers , H. C. Chen , D. C. Kopaska-Merkel , J. H. Fang
AAPG Bulletin
... of the Third Annual Research Conference, Gulf Coast Section, SEPM, p. 365-374. Wasserman, P. D., 1989, Neural computing: theory and practice: New York...
1995
Detection of hydrocarbon reservoir boundaries using neural network analysis of surface geochemical data
Hari Doraisamy, Daniel H. Vice, Phillip M. Halleck
AAPG Bulletin
... with respect to the boundaries of a known reservoir. However, such analysis methods cannot be used directly as predictive tools. This article describes...
2000
A Coupled Pore-Scale Modelling Approach to Capture Macro-Scale Stress-Dependent Permeability of Rocks
Keivan Khaleghi, Stephen Talman, Alireza Rangriz Shokri, Bauyrzhan K. Primkulov, Abel S. Juncal, Rick J. Chalaturnyk
Unconventional Resources Technology Conference (URTEC)
... and stress path, modeling environment can be calibrated as a predictive tool to evaluate the behavior of porosity and permeability, hence transport qualities...
2019
Multimineral diagenetic forward modeling for reservoir quality prediction in complex siliciclastic reservoirs
William L. Esch
AAPG Bulletin
... that there is an opportunity for improved predictive capabilities in siliciclastic diagenetic systems through integration of RTM with current standard RQ modeling...
2019
Steps for Improving the Utility of Land Seismic Data for Unconventional Reservoirs
Christof Stork
Unconventional Resources Technology Conference (URTEC)
.... doi: https://doi.org/10.1190/tle36080642.1 Bednar, J. Bee. "Applications of median filtering to deconvolution, pulse estimation, and statistical...
2018
Application of Unsupervised-Manifold-Learning for Productivity Driver Evaluation and Production Forecasting in Unconventional Oil Reservoirs
Yang Gao, Yuewei Pan, Jianhua Qin, Enbo Qiu, Wei Ma, Ran Bi
Unconventional Resources Technology Conference (URTEC)
... in deconvolution of unconventional production data, they found that the LE transformed the feature space into a lower-dimensional representation and its...
2022
Accumulation of gas hydrates in mass transport deposits at Krishna-Godavari Basin, Bay of Bengal: Foraminiferal, sedimentologic, and seismic evidence
Ajoy K. Bhaumik, Shiv Kumar, Swagata Chaudhuri, Satabdi Mohanty, Mrinal Kanti Mukherjee, K. Sain, Anil K. Gupta, and Pushpendra Kumar
AAPG Bulletin
... by filtering of data using a 5-10-160-180-Hz minimum-phase band-pass filter. Subsequently, spherical divergence correction, predictive deconvolution...
2024
A Compositional Classification For Grain Assemblages In Fine-Grained Sediments and Sedimentary Rocks—Reply
Kitty L. Milliken
Journal of Sedimentary Research (SEPM)
... is standard practice in petrography of sandstones and limestones and should be followed for fine-grained sediments as well. Minor Points...
2016
Chapter 9: Basinwide Delineation of Gas-shale “Sweet Spots” Using Density and Neutron Logs: Implications for Qualitative and Quantitative Assessment of Gas-shale Resources
Mark Ver Hoeve, Corey Meyer, Joe Preusser, Astrid Makowitz
AAPG Special Volumes
... (TOC), a common industry practice. The second method is the neutron gas effect. In many gas shales, the neutron and density logs exhibit approach...
2013
Case of Study: Applying Data Analytics to Reveal Most Important Parameters Impacting Well Production Performance in Vaca Muerta Unconventional Formation
Alejandro Lerza, Juan Jose Fernandez, Ana Marlats, Diego Gallart
Unconventional Resources Technology Conference (URTEC)
..., that influence the output, any sort of well productivity metric. A common practice to understand the relationship of these explanatory variables...
2020
Probability maps of reservoir presence and sensitivity analysis in stratigraphic forward modeling
Véronique Gervais, Mathieu Ducros, and Didier Granjeon
AAPG Bulletin
... sensitivity analysis and probability of reservoir presence in each location of the basin. Our objective is to define a workflow that can be run in practice...
2018
Modeling the Mesozoic-Cenozoic Structural Evolution of East Texas
Ofori N. Pearson, Elisabeth L. Rowan, John J. Miller
GCAGS Journal
... another. We then performed post-stack amplitude scaling (500 milliseconds [ms] automatic gain control), predictive deconvolution (48 ms predictive...
2012
Horizontal Well Performance Prediction Early in the Life of the Wolfcamp Oil Resources Play in the Midland Basin
Tom Dean, Valery Shchelokov, Ray Wydrinski, Tim Reed, Mickey Friedrich
Unconventional Resources Technology Conference (URTEC)
... wells to define a predictive well performance correlation by using a multiple linear regression technique. In applying the multiple linear regression...
2013
Influence of Depositional Environment on Reservoir Quality Prediction
Salman Bloch, J. H. McGowen
Special Publications of SEPM
.... In practice, a satisfactory predictive model for samples with a wide range in cement content can be obtained by dividing the calibration data set into two...
1994