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 5,347 Results. Searched 200,663 documents.
Abstract: The Use of Unconventional Spatial Statistics as a Predictive Tool in Conventional Petroleum Exploration: A Case Study from the Bighorn Basin, Wyoming; #90301 (2017)
Brianna Berg, Cody Bomberger, Jenica Andersen, Michael H. Hofmann
Search and Discovery.com
...Abstract: The Use of Unconventional Spatial Statistics as a Predictive Tool in Conventional Petroleum Exploration: A Case Study from the Bighorn...
2017
Abstract: Sequence Stratigraphy of Carbonate Ramp Systems: Implications for Sweet-Spot Prediction in the Vaca Muerta Unconventional Resource Play; #90310 (2017)
Alexander D. Bromhead
Search and Discovery.com
... uses an integrated dataset (seismic, wireline, geomechanical, and production data) within the predictive framework of a sequence stratigraphic model...
2017
Abstract: Size Isnt Everything: Predicting Clastic Injectites at Stratigraphic Traps Using Appropriate Analogues; #90310 (2017)
Sarah Cobain, David Hodgson, Jeff Peakall
Search and Discovery.com
... not only highlights the predictive nature of where they occur in basin-floor stratigraphic traps, but also emphasises the use of appropriate analogues when...
2017
Abstract: North Atlantic Regional Geohistory and Crustal Modeling for the Vøring and Møre Margin: Constraints on Palaeoenvironmental Reconstruction and the Predictive Mapping of Source and Reservoir Rocks; #90310 (2017)
Jim P. Harris, Andy D. Alvey, Alexandra Ashley, Lars Schanke Eikum, Ian L. Ferriday, Christopher Gilman, Elias Kassabji, Nick J. Kusznir, Stephen More, Sean Pyman, Alan M. Roberts, Marta Swierczek, Anna K. Uffmann, Paul Valdes, John Watson
Search and Discovery.com
... and the Predictive Mapping of Source and Reservoir Rocks; #90310 (2017) Jim P. Harris, Andy D. Alvey, Alexandra Ashley, Lars Schanke Eikum, Ian L...
2017
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
-- no title --
user1
Search and Discovery.com
... H2 accumulation in reservoirs. Shortly, fundamental parameters of natural H2 geosystem(s) are still lacking to produce predictive and scalable...
Unknown
Fault Rock Prediction for Inverted Extensional Faults in Siliciclastic Sequences Challenges, Methods and Risking for Hydrocarbon Exploration, #41389 (2014).
Stewart J. Smith
Search and Discovery.com
... from these predictive methods are not applicable. In this study, we review challenges faced in attempting prediction of fault properties for inverted...
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
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
Low-Resistivity, Low-Contrast Productive Sands
Robert M. BOB Sneider, John T. Kulha
New Orleans Geological Society
... Started out with thirty models Reduced the form of the models into four type-equations All models were derived to provide either a localized predictive...
1993
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
Assessment of a Marcellus Shale Prospect Using Seismic, Microseismic, and Completions Data
Scott Singleton, Mark Suda
GCAGS Transactions
..., such as repeated S/N enhancement runs, FXY deconvolution or K filtering (i.e., wavenumber filter for linear coherent noise), or spectral enhancement to bring out...
2012
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
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
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
A step towards the automatization of predictive geological mapping
Rafael Pires de Lima, Marcos Ferreira, Iago Costa
International Meeting for Applied Geoscience and Energy (IMAGE)
...A step towards the automatization of predictive geological mapping Rafael Pires de Lima, Marcos Ferreira, Iago Costa A step towards...
2022
Data Analytics for Production Optimization in Unconventional Reservoirs
Srikanta Mishra, Jared Schuetter, Ming Zhong, Randy Lafollette
Unconventional Resources Technology Conference (URTEC)
... predictive models, and (b) how to develop decision rules that help identify factors separating good wells from poor performers. The data for this study...
2015
Assessing the influence of shale concentration on dielectric permittivity using frequency-dependent coaxial probe measurements
Domenico Maria Crisafulli, Carlos Torres-Verdín
International Meeting for Applied Geoscience and Energy (IMAGE)
... establish a predictive relationship to estimate the permittivity of shaly-sandstone as a function of frequency, relying on measurements of clean...
2024
An Artificial Intelligence Decision Support System for Unconventional Field Development Design
Naser Tamimi, Shirin Samani, Mohsen Minaei, Farshad Harirchi
Unconventional Resources Technology Conference (URTEC)
...-based reservoir engineering methods and it is a stack of three AI layers: Predictive, Prescriptive and Cognitive. The predictive unit receives...
2019