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The AAPG/Datapages Combined Publications Database
Showing 34,499 Results. Searched 200,691 documents.
Fast Track Reservoir Characterisation of a Subtle Paleocene Deep Marine Turbidite Field Using a Rock Physics and Seismic Modelling Led Workflow
H.J.S. Morris, R. Christensen, D. Gawith, M. Millwood-Hargrave
Indonesian Petroleum Association
... of the MLP neural network is controlled by the user, who defines the inputs and the selected outputs, and the number of nodes in the hidden layer. The aim...
2008
Influence of Pre-existing Weakness on Normal Fault Growth: Implications From Discrete Element Modeling
Search and Discovery.com
N/A
Estimating and Mapping Anisotropy in the East Mediterranean Subsurface
Search and Discovery.com
N/A
A Two-Phase Well Test Analysis for Water Injection Wells
Takao Namba
Indonesian Petroleum Association
... wells, in which the effect of two-phase flow (or saturation gradient in a reservoir) was considered. The interpretation system consists...
1989
Application of Cole Plot to Better Estimate Reserves in a Complex, Multi Layered, Water Drive Gas Reservoir (Sisi Nubi, Indonesia)
Tamara Wulandari, Antonius Krisnaputra, Dodi Setiawan
Indonesian Petroleum Association
... is the first application of Cole Plot to measure interference effect in a complex mature field with a commingle multi layer production, and lateral connectivity...
2016
Increasing The Resolution of Seismic Imaging With Spectral Blueing, Spectral Decomposition RGB And HSV Blending to Delineate The Fluvial Facies on Fluvio Deltaic Environment
Aji Darma Maulana, Nine Safira, Ongki Ari Prayoga, Egie Wijaksono, Alit Ascaria
Indonesian Petroleum Association
.... Second, the effect of the Spectral Decomposition stage after being enhanced from the Spectral Blueing method will be seen in the seismic data. Third...
2022
GEOLOGY AND GEOCHEMISTRY OF THE EASTERN MARGIN OF THE ATHABASCA BASIN
P. P. Ramaekers and C. E. Dunn
Saskatchewan Geological Society
... containing only quartz veins form the ”regolith“. These clays include illite, chlorite, mixed layer lattice clays, quartz, pyrite, but very little...
1977
Fathogram Indications of Bottom Materials in Lake Michigan
J. L. Hough
Journal of Sedimentary Research (SEPM)
... bottom profile was related to the kind of material on the bottom. The effect of bottom materials on reflection of underwater sound, used in submarine...
1952
Onshore Kutai Basin Pore Pressure Synthesis and Hydrocarbon Accumulation
Irawan Youdha Tribuana, Danny Nursasono, Arrie Kurniawan, Yoseph Robby Apranda, Hafizhan Ihsandani
Indonesian Petroleum Association
... them. But this thesis has some pitfalls, such as 1) Not considering the erosional and temperature effect; and 2). The accumulation zone called...
2022
Cenozoic Sediment Ation and Sequence of Deformational Events at the Southeastern End of the Furnace Creek Strike Slip Fault Zone Death Valley Region California
Ibrahim Cemen, L. A. Wright, R. E. Drake, F. C. Johnson
Special Publications of SEPM
... 1982 consist of E Hidden Valley Dolomite 1400 alluvial fan rocks lEly Springs d Cl a 0 Eureka M Pogonip E Dolomite 500 Quartz ite 400...
1985
ABSTRACT: Forward Modeling of Salt Tectonic Response to Sedimentary Loading and Basin Subsidence, by Ings, Steven J., Lykke Gemmer, Christopher Beaumont; #90026 (2004)
Search and Discovery.com
2004
Abstract: Seismic Implications of Moveable Fluids; #90254 (2016)
Robert W. Wiley, Peter Wilson, Scott Peters
Search and Discovery.com
.... 2010). In addition, the attenuation has an associated dispersion. This combination will lead to a frequency dependent effect at the interface of a porous...
2016
Petrophysical Interpretation and Reservoir Characterisation on Proterozoic Shales in National Drilling Initiative Carrara I, Northern Territory
Liuqi Wang, Adam H. E. Bailey, Emmanuelle Grosjean, Chris Carson, Lidena K. Carr, Grace Butcher, Christopher J. Boreham, Dave Dewhurst, Lionel Esteban, Chris Southby, Paul A. Henson
Australian Petroleum Production & Exploration Association (APPEA) Journal
... and three hidden layers (Roberts et al. 2022; Wang et al. 2022). Each layer has a different number of neurons. The input layer imports the input...
2023
The Geology of the South Polar Region
C. G. Morgan
Tulsa Geological Society
.... The effect of compaction and re-crystallization at successive depths of drift snow introduces a layer or tabular form of ice, which in turn forms...
1935
Dealing the Production Crisis by Emergent Additional Techniques for Predicting Highly High Hydrocarbon Zones in Mature Field, Sanga Sanga area, Kutei Basin, Indonesia
Ridha S. Riadi, Robhy C. Permana, Yoseph R. Apranda, Gunna Satria H. Kusumah, Fachmy M. Irhamsyah
Indonesian Petroleum Association
... as input parameters and processed with ANN method resulting a great promising of hidden hydrocarbon reservoirs with a high statistic number. All...
2019
Abstract: How to Improve Location Accuracy When Dealing with Artifacts in Microseismic Event Locations; #90187 (2014)
N. Verkhovtseva
Search and Discovery.com
... distribution. There are a few types of artifacts such as an arching effect when events are smeared out around the toolstring in the map view...
2014
The Oil Shale Industry
Victor C. Alderson
Rocky Mountain Association of Geologists
... filled with stirring and far-reaching events, world wide in their effect, not the least of which has been the birth of a new industry...
1974
Abstracts: Unraveling Cardium Tight Sand Paleo-depositional Trends and Subtle Structural Features using Seismic Reservoir Characterization; #90173 (2015)
Valentina Baranova, Azer Mustaqeem, Elvis Floreani, Mike Gervais
Search and Discovery.com
... and natural fracture trends within the Cardium sand. By knowing these factors better horizontal well planning can be achieved thus exploiting hidden high...
2015
Stage-Level Data Integration to Evaluate the Fracturing Behavior of Horizontal Wells at the Hydraulic Fracturing Test Site (HFTS): An Insight into the Production Performance
Shadi Salahshoor, Debotyam Maity, Jordan Ciezobka
Unconventional Resources Technology Conference (URTEC)
... characteristics of the target formation but also the spatial heterogeneity in the target layer is a significant step in achieving the optimum completion design...
2020
Understanding the Correlation Between Induced Seismicity and Water Injection in the Fort Worth Basin, #80481 (2015).
Valerie Gono, Jon E. Olson, Julia Gale
Search and Discovery.com
... as the permeability-thickness (kh) of the injection formation are being investigated as controls on this time lag effect. References Cited Davis, S.D., P.A....
2015
Comparison of Sand-Layer Geometry on Flat Floors of 10 Modern Depositional Basins
Orrin H. Pilkey , Stanley D. Locker , William J. Cleary
AAPG Bulletin
...Comparison of Sand-Layer Geometry on Flat Floors of 10 Modern Depositional Basins Orrin H. Pilkey , Stanley D. Locker , William J. Cleary 1980 841...
1980
A Geomechanical Analysis of Shale Hydraulic Fracturing Containment
Amirhossein Kamali, Ahmad Ghassemi
Unconventional Resources Technology Conference (URTEC)
... modulus of the adjacent layers also influences height containment but its effect was found to be less than that of stress contrast. Although fracture...
2021
Volumetric supervised contrastive learning for seismic semantic segmentation
Kiran Kokilepersaud, Mohit Prabhushankar, Ghassan AlRegib
International Meeting for Applied Geoscience and Energy (IMAGE)
... to be a multi-layer perceptron with a single hidden layer. This projection head is used to reduce the dimensionality of the representation...
2022
Low Frequency Passive Seismic Study in Brantas Block, East Java, Indonesia
Muhammad Alwi, Sunu Hadi Praptono, Andri Murtadho
Indonesian Petroleum Association
... and crossing an unconsolidated near-surface layer (blue area) the wave registers on a recording array. METHODOLOGY In July 2010, a passive seismic survey...
2011
Facies classification with different machine learning algorithm An efficient artificial intelligence technique for improved classification
Partha Pratim Mandal, Reza Rezaee
Petroleum Exploration Society of Australia (PESA)
...% for validation). ANN is a supervised regression and classification model. It consists of three layers which are input layer, hidden layer and output. The algorithm...
2019