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The AAPG/Datapages Combined Publications Database
Showing 780 Results. Searched 196,367 documents.
Empirical Relation Between Carbonate Porosity and Thermal Maturity: An Approach to Regional Porosity Prediction: REPLY TO RAY DISCUSSION
James W. Schmoker
AAPG Bulletin
...Empirical Relation Between Carbonate Porosity and Thermal Maturity: An Approach to Regional Porosity Prediction: REPLY TO RAY DISCUSSION James W...
1985
N/A
Exploration and Development based on RTH Technology and AI
Gennady Erokhin, Mariia Erokhina, Kirill Safran, Alexandre Iakovlev
Unconventional Resources Technology Conference (URTEC)
... behavior of two vectors: the velocity vector in forward wave and the velocity vector in time-reversed backward scattering wave provides detailed...
2023
Multi-Step Auto-Regressive Reconstruction of Nonuniformly Sampled, Aliased Seismic Records; #41563 (2015)
M. Naghizadeh, M. D. Sacchi
Search and Discovery.com
... of low frequencies is equal to maxr - minr +1. The prediction filters at αf frequency can be computed by applying Multi-Step forward and backward AR...
2015
Calibration of Double-Ended Distributed Temperature Sensing System for Production Logging
Ge Jin, Kyle Friehauf, Baishali Roy
Unconventional Resources Technology Conference (URTEC)
... temperature prediction for an unconventional oil producer from two models with very different production profiles. Right panel is a zoom-in version...
2019
Abstract: Making FX Interpolation More Robust by Spectrum-guided Reconstruction; #90171 (2013)
Mostafa Naghizadeh and Mauricio Sacchi
Search and Discovery.com
... [email protected] , [email protected] Summary In this paper the spectrum of prediction filters is used to find a region of support (in the wavenumber...
2013
Application of Common Contour Binning (CCB) and Back Propagation Neural Network (BPNN) for Oil Water Contact Prediction in Carbonate Reservoir (The Case Study at G404 Field)
Wahyu Tri Sutrisno, Septian Prahastudhi, Ayi Syaeful Bahri, Yulia Putri Wulandari
Indonesian Petroleum Association
...Application of Common Contour Binning (CCB) and Back Propagation Neural Network (BPNN) for Oil Water Contact Prediction in Carbonate Reservoir...
2013
ABSTRACT: Hierarchical Stacking Geometries of Genetic Sequences: Implications for Predicting Geometry and Distribution of Reservoir Facies Tracts, by Timothy A. Cross; #91038 (2010)
Search and Discovery.com
2010
Coal Identification Using Neural Networks with Real-Time Coalbed Methane Drilling Data
Ruizhi Zhong, Raymond Johnson Jr, Zhongwei Chen, Nathaniel Chand
Australian Petroleum Production & Exploration Association (APPEA) Journal
... in the drilling industry. For instance, data-driven models are used in ROP prediction (Bilgesu et al. 1997; Hegde et al. 2017; Soares and Gray 2019...
2019
High-Resolution Genetic Interpretation of Salt Structure Geometries and Their Near-Diapir Sedimentation
Search and Discovery.com
N/A
Comparison of three Bayesian methods for lithofluid facies prediction using elastic properties
Jingfeng Zhang, Kevin Wolf, Anar Yusifov, Matt Walker, Pedro Paramo, Jeffrey Winterbourne, Reetam Biswas, Atish Roy, Qiang Liu, Xingchao Liu
International Meeting for Applied Geoscience and Energy (IMAGE)
...Comparison of three Bayesian methods for lithofluid facies prediction using elastic properties Jingfeng Zhang, Kevin Wolf, Anar Yusifov, Matt Walker...
2023
Understanding the Reservoir Architecture of Lower Fars Formation in North Kuwait through Seismic Reservoir Characterization; #51531 (2018)
Mohamed Hafez Abdul Razak, Jarrah Al-Jenaie, Hesham Moubarak
Search and Discovery.com
... , Hesham Moubarak* LOOKING BACKWARD … WHAT WE LEARNED In northern Kuwait, the Lower Fars Formation is a long established prolific reservoir of heavy...
2018
Application of Neural Networks and Machine Learning in Tiltmeter Analysis in Hydraulic Fracturing Diagnostics; #42384 (2019)
Ben Bagherian
Search and Discovery.com
... Propagation Back-propagation training algorithm: Network activation Forward Step Error propagation Backward Step Backprop adjusts the weights of the NN...
2019
Abstract: Parasequence Sets, Parasequences, Facies Distributions, and Depositional History of the Upper Cretaceous Ferron Deltaic Clastic Wedge, Central Utah, by T. A. Ryer and P. B. Anderson; #90959 (1995).
Search and Discovery.com
1995
Estimation of Nuclear Magnetic Resonance Log Parameters from Well Log Data Using a Committee Machine with Intelligent Systems
Rohmatul Aminah, M. Dwi Bagus Aurijanto
Indonesian Petroleum Association
... factor to each of the individual intelligent algorithms, showing its contribution in the overall prediction. The weight factors are derived in two ways...
2015
Machine-Learning Based Analytics Applied to Stimulation Performance in the Utica Shale: Case Study and Lessons Learned
Sebastien Perrier, Arnaud Delpeint, Zulibukaer Shawuti, Ashis Shrestha
Unconventional Resources Technology Conference (URTEC)
... trend from the measured well performance dataset leads to models that can have a significantly higher prediction accuracy (Figure 6...
2018
Integrated In-House Fuel and Flare Prediction Practical Tool for Predicting Short and Long Term Fuel and Flare Needs of E&P Production Facilities to Identify Savings and Improve Gas Production Forecast
Dwi Riyanto, Moncef Attia
Indonesian Petroleum Association
...Integrated In-House Fuel and Flare Prediction Practical Tool for Predicting Short and Long Term Fuel and Flare Needs of E&P Production Facilities...
2017
4D Regional Evolution of Gravity Driven Systems: Comparison between Salt and Shale Tectonics and Petroleum Implications, by Philippe de Clarens, Xavier du Bernard, Jean-Loup Montenat, and Stephane Raillard; #90037 (2005)
Search and Discovery.com
2005
Fracture Network Characterization of Naturally Fractured Reservoir Using Artificial Neural Network and Fractal Methods
Doddy Abdassah, Sani O. Wahyu
Indonesian Petroleum Association
... Perminyakan ITB, Bandung. Naturally fractured reservoir1,3 has it own specificity and heterogeneity that make it very hard in prediction...
1998
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)
... and efficient implementation of algorithm have improved facies prediction accuracy significantly on a blind well. Key words: facies classification...
2019
Predicting Reservoir Quality Using Linear Regression Models and Neural Networks
K.M. Love, C. Strohmenger, A. Woronow, K. Rockenbauch
AAPG Special Volumes
... Memoir 69: AAPG Memoir 69: Reservoir Quality Prediction in Sandstones and Carbonates, 1997 A method for predicting the three-dimensional...
1997
AAPG Memoir 76, Chapter 19: The Future of Pressure Prediction Using Geophysical Methods
Alan R. Huffman
AAPG Special Volumes
... and go backward from current-day conditions to the start of basin formation using the pressure prediction as the starting point. This approach would...
2001
Utilizing A Viscoplastic Stress Relaxation Model to Study Vertical Hydraulic Fracture Propagation in Permian Basin
Shaochuan Xu, Fatemeh Rassouli, Mark Zoback
Unconventional Resources Technology Conference (URTEC)
... measured B, n, and the least principal stress to backward calculate the total strain ε 0, which is about 2×10-3. Then, applying this total strain...
2017
Use of Artificial Neural Networks to Estimate Well Permeability Profiles in Sumatra, Indonesia
A. G. Bruce, P. M. Wong, Tunggal, B. Widarsono, E. Soedarmo
Indonesian Petroleum Association
.... University of New South Wales, Sydney, Australia. Huang, Y., Wong, P.M. and Gedeon, T.D. (1999) An AI-integrated method for permeability prediction...
2000