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The AAPG/Datapages Combined Publications Database
Showing 10,680 Results. Searched 201,044 documents.
Subsurface Surveillance in Low Permeability Oil Reservoir at Tanjung Field Barito Basin South Kalimantan
Trisakti Kurniawan, Bambang Prasetiyo, Darwin Tangkalalo
Indonesian Petroleum Association
... with a seismic inversion may help to solve the problem. In term of dynamic model, stochastic geological modeling guided with seismic can give more...
2010
The Model of Dynamic Project Economics on Marginal Gas Field Development: A Combination of Deterministic and Probabilistic Method
Trian Hendro Asmoro, Ahmad Toha, Nuzulul Haq
Indonesian Petroleum Association
... random numbers to make an estimation of possible outcome. The simulation will calculate many scenarios from a model by using several numbers of defined...
2012
Timing of Gas and Overpressure Generation in the Sable Basin Offshore Nova Scotia: Implications for Gas Migration Dynamics
Mark A. Williamson, Carolyn Smyth
CSPG Bulletin
.... 57, p. 1219-1249. Bethke, C.M. 1985. A numerical model of compaction driven ground water flow and heat transfer and its application...
1992
Direct modeling of reservoir properties from seismic partial-angle stacks
John V. Pendrel, Henk J. Schouten
International Meeting for Applied Geoscience and Energy (IMAGE)
.... Uncertainty measures can be made from alternative model scenarios. These are created by perturbing the facies mean values according to the standard deviations...
2023
Interbed Multiple Suppression in Carbonate Sequences
Gabriel Gil
Unconventional Resources Technology Conference (URTEC)
... transform. The presented workflow shows a model-based approach to predict and suppress the presence of interbed multiples from migrated pre-stack data...
2025
Gas Field Production Data Analysis: The Truth, the Whole Truth and Nothing but the Whole Truth, #42550 (2020).
Christopher Evans,
Search and Discovery.com
... and estimate their ultimate recovery. This integration is essential in narrowing uncertainties in the reserves and resources estimation process...
2020
The Evolution and Use of Discovery Process Models at the U.S. Geological Survey
Lawrence J. Drew , John H. Schuenemeyer
AAPG Bulletin
... the well spacings and size of the field being sought. Details of the estimation procedure are given in Root and Schuenemeyer (1980). This model...
1993
Geological Realism of Deep Water Channel Reservoir Models with Intelligent Priors, #41011 (2012)
Temistocles Rojas, Vasily Demyanov, Mike Christie, Dan Arnold
Search and Discovery.com
... of the model parameter (e.g. channels that are 1 m wide and 200 m thick). Moreover, computational effectiveness of history-matching decreases...
2012
Petrophysical Interpretation of Electromagnetic Induction and Dielectric Dispersion Logs in Bakken Petroleum System; #42155 (2017)
Pratiksha Tathed, Yifu Han, Siddharth Misra
Search and Discovery.com
... of the science wells intersecting the BPS. Three geoelectromagnetic mixing models, namely Lichtenecker–Rother model, Stroud-Milton-De model, and Waxman Smits...
2017
Fast-Track and Robust Reservoir Modeling Using Probabilistic Neural Network; #42205 (2018)
Islam A. Mohamed, Basem K. Abd El-Fattah
Search and Discovery.com
... geologic model to be an input to the fluid simulations. The geostatistical reservoir modeling (stochastic modeling) methods are widely used instead...
2018
Environment of Deposition Modeling From Rock/Log Model Approach
C. C. Segrest, D. K. Davies
West Texas Geological Society
...Environment of Deposition Modeling From Rock/Log Model Approach C. C. Segrest, D. K. Davies 1999 119 122 This paper presents a method for prediction...
1999
Simulation and Mapping of Space-Dependent Data in Geology
Michel Dagbert
CSPG Bulletin
... distributed data in geology: Computer and Geosciences, v. 6, p. 175-192. David, M., 1977, Geostatistical ore reserve estimation: Amsterdam, Elsevier, 364p...
1981
Characterization of Deepwater Halang Formation Play in Cibingbin, Kuningan, West Java
Zikri Ramadhan Sulistyo
Indonesian Petroleum Association
... of this paper. The objective of this study is to further understanding of the conceptual geological model as a guide to distribute analogues in subsurface...
2015
Abstract: Color Correction for Gabor Deconvolution and Nonstationary Phase Rotation; #90171 (2013)
Peng Cheng and Gary F. Margrave
Search and Discovery.com
... deconvolution is based on a nonstationary convolution model of the seismic trace. Margrave (1998) presented a nonstationary convolutional model, which...
2013
Abstract: Color Correction for Gabor Deconvolution and Nonstationary Phase Rotation; #90171 (2013)
Peng Cheng and Gary F. Margrave
Search and Discovery.com
... deconvolution is based on a nonstationary convolution model of the seismic trace. Margrave (1998) presented a nonstationary convolutional model, which...
2013
Upscaling of Pore Network and Permeability from Micron to Millimeter Scale in Organic-Pore Dominated Mudstones; #41429 (2014)
Sheng Peng, Tongwei Zhang, Stephen C. Ruppel
Search and Discovery.com
... model based on image analysis and mercury intrusion; Permeability simulation in µm-scale; Up-scaled permeability estimation in mm-scale...
2014
Mineralogical Estimation of Organic Rich Mudrocks from Well Logs Using Neural Networks: Overcoming Training Dataset Size Limitation by Integrating X-Ray Fluorescence Elemental Data; #42458 (2019)
Mustafa Al Ibrahim, Tapan Mukerji, Allegra Hosford Scheirer
Search and Discovery.com
...Mineralogical Estimation of Organic Rich Mudrocks from Well Logs Using Neural Networks: Overcoming Training Dataset Size Limitation by Integrating X...
2019
Contrasting thermal evolution of thrust systems: An analytical and modeling approach in the front of the western Alps
ric Deville, William Sassi
AAPG Bulletin
... d'enregistrement national no. 96/05736, Rapport IFP 43066, 11 p.Endignoux, L., and J.-L. Mugnier, 1990, The use of forward kinematical model...
2006
Estimation of TOC and Brittleness Volumes and Correlation with Reservoir Production
Sumit Verma, Tao Zhao, Kurt J. Marfurt, Deepak Devegowda, Dario Grana
Unconventional Resources Technology Conference (URTEC)
... model for organic richness from porosity and resistivity logs: AAPG Bulletin, 74, 1777-1794. Perez, R., 2013, Brittleness estimation from seismic...
2016
Enhancement of Field Development Practices with Geostatistical Reservoir Modeling at Minas Field, Central Sumatra
Gerald H. Schmit, J. P. Logan, A. Rahardja, L. L. Williams
Indonesian Petroleum Association
... were developed to interrogate the geocellular model for the purposes of defining OOIP uncertainty, waterflood optimization and pattern review...
2002
Permeability of methane hydrate-bearing sandy silts in the deep-water Gulf of Mexico (Green Canyon Block 955)
Yi Fang, Peter B. Flemings, Hugh Daigle, Stephen C. Phillips, and Josh O’Connell
AAPG Bulletin
... value (ρb = 1.9–2.1 g/cm3) and a lower Vp value (Vp = ∼1700 m/s), and contains little to no hydrate. The estimation of in situ overburden stress...
2022
Shale PVT Estimation Based on Readily Available Field Data
Tao Yang, Remy Basquet, Angel Callejon, Jan Joost Van Roosmalen, Bob Bartusiak
Unconventional Resources Technology Conference (URTEC)
... reliable CGR estimation due to lack of PVT data. Geochemical basin model gives a useful prediction of fluid type for an overall picture. When possible...
2014
Scaled Physical Model of Secondary Oil Migration
Michele Moisio Thomas , Jamie A. Clouse
AAPG Bulletin
...Scaled Physical Model of Secondary Oil Migration Michele Moisio Thomas , Jamie A. Clouse 1995 19 28 79 1. (January) A scaled physical model...
1995
Abstract: Integration of Multi Scale Data in Facies Modeling using Neural Network; #90171 (2013)
Khaled Benzaoui and Tom Cox
Search and Discovery.com
... 3D facies model. The methodology is based on four steps. The first step uses a neural network to combine the core descriptions and the open hole logs...
2013
Abstract: Integration of Multi Scale Data in Facies Modeling using Neural Network; #90171 (2013)
Khaled Benzaoui and Tom Cox
Search and Discovery.com
... 3D facies model. The methodology is based on four steps. The first step uses a neural network to combine the core descriptions and the open hole logs...
2013