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The AAPG/Datapages Combined Publications Database
Showing 56,342 Results. Searched 200,599 documents.
Abstract: In-Situ Viscosity Predictions Using Low Field NMR: Core and Log Calibrations; #90213 (2015)
F. Manalo, J.Bryan, A. Kantzas, R. MacPherson, and T. Hancsicsak
Search and Discovery.com
... liquid NMR model was developed that can make order of magnitude viscosity predictions for a wide range of samples from different fields in Alberta...
2015
Abstract: Unconventional Reservoirs, Integrated Petrophysical Approach for Sweet Spot Identification and Fracking Stage Selection; #90254 (2016)
Saad J. Alshehri, Mohammed Boudjatit, Abdelghayoum S. Ahmed
Search and Discovery.com
..., are used for a better optimization of the petrophysical model, including accurate estimation of organic matter volume, porosity, formation water...
2016
Abstract: Unconventional Reservoirs, Integrated Petrophysical Approach for Sweet Spot Identification and Fracking Stage Selection; #90255 (2017)
Saad Alshehri, Abdelghayoum Ahmed, Mohammed Boudjatit
Search and Discovery.com
... with conventional density neutron, acoustic and resistivity logs, are used for a better optimization of the petrophysical model, including accurate...
2017
Abstract: An Integrated Approach in Characterizing Depositional Facies Using Seismic and Well Penetration Data: A Case Study from Saudi Arabia; #91204 (2023)
Khalid Aljoaib
Search and Discovery.com
..., and seismic data were used in this study as an integrated model to characterize depositional facies of the middle Jurassic formation within the Oxfordian...
2023
Abstract: Geologic Face Mapping Methodology Utilizing Global Positioning Systems and Drone Technology; #91205 (2023)
Luke Whitenburg and Mindy Faulkner
Search and Discovery.com
..., providing geologists safe and efficient ways to collect and process greater volumes of field data. This research used the Trimble Geo 7x GPS unit...
2023
3-D Geological Model Building Using Remotely Sensed Satellite Data, by Mike Oehlers and Pedro Barreto; #90052 (2006)
Search and Discovery.com
2006
3D Forward stratigraphic modelling of carbonate settings
Search and Discovery.com
N/A
Estimating the Size and Orientation of Hydraulic Fractures using Microseismic Events
Mohammed AlQassab, Wei Yu, Kamy Sepehrnoori, Erich Kerr, Reid Scofield, Andrew Johnson
Unconventional Resources Technology Conference (URTEC)
... preliminary fracture model. Next, we used step 4 and 5 to integrate the fracture model into a reservoir model and calibrate the fracture model in the assisted...
2020
Assisted History Matching of Early Field Life and Probabilistic Forecasting Using an Integrated Subsurface - Surface Network Numerical Model: Bangka Deepwater Development
Robikhun, Eric W. Bhark, Monas O. Purba, Komaruddin E. Purwanto
Indonesian Petroleum Association
... simulation model, the well model and the facilities flow model. As a greenfield study prior to first gas production, coupled modeling was used...
2018
A Breakthrough of Bekapai Converted S-Wave Processing and its Positive Impact to Structural Interpretation
Effendy Siawira, Andy Kristianto, Jaques Bonnafe, Natalia Anggriani, Cepi M. Adam, Zainal Abidin, Firman B. Kurniawan, Supriady, Claudio Strobbia, Yang Liu, Youning Li, Xiagui Miao, Libo Zi, Guishui Wang
Indonesian Petroleum Association
... such as converted S-wave (PS) Depth Migration is one of the techniques being used. Building an accurate depth model is the key for PS depth migration...
2015
Finding a Better Path to Impedance Inversion; #41722 (2015)
Amit Kumar Ray, Ritesh Kumar Sharma, Satinder Chopra
Search and Discovery.com
... result in artifacts when used in impedance inversion. Conclusions The proposed workflow for generating a low-frequency impedance model is superior...
2015
Prewell and postwell predictions of oil and gas columns using an iterative Monte Carlo technique with three-dimensional petroleum systems modeling
Are Tømmerås, Øyvind Sylta, Matthias C. Daszinnies, and Davide Mencaroni
AAPG Bulletin
... with a weighting function to compute property distributions that are used as input for each subsequent stochastic iteration of the model. The calibrated...
2018
Insights from Geomechanical Modelling of 2D Cross-Sections in Fold-Thrust Belts, #30672 (2020).
Reinaldo Ollarves, Samuel Fraser, Ken McClay,
Search and Discovery.com
.... Four forward mechanical models of simple inverted extensional faults are used to demonstrate the importance of mechanical stratigraphy...
2020
Insights into the mechanisms of fault-related folding provided by volumetric structural restorations using spatially varying mechanical constraints
Chris A. Guzofski, Joachim P. Mueller, John H. Shaw, Pierre Muron, Donald A. Medwedeff, Frank Bilotti, Carlos Rivero
AAPG Bulletin
... in the model. The results demonstrate that these techniques can be used to provide full 3-D restorations that closely match established two-dimensional...
2009
Merging Physics and Data-Driven Methods for Field-Wide Bottomhole Pressure Estimation in Unconventional Wells
Diego Molinari, Sathish Sankaran
Unconventional Resources Technology Conference (URTEC)
... nodes (e.g. downhole), learn the multiphase flow model that can be used to predict pressure to compare against the sensor measurement or completely...
2021
Forecasting Petroleum Production with a Model Based from Discharge Process; #40521 (2010)
Claudio Bettini and Reneu Rodrigues Da Silva
Search and Discovery.com
...Forecasting Petroleum Production with a Model Based from Discharge Process; #40521 (2010) Claudio Bettini and Reneu Rodrigues Da Silva Click to view...
2010
Physics-Assisted Transfer Learning for Production Prediction in Unconventional Reservoirs
J. Cornelio, S. Mohd Razak, A. Jahandideh, Y. Cho, H-H. Liu, R. Vaidya, B. Jafarpour
Unconventional Resources Technology Conference (URTEC)
... way in which a data-driven model trained on a large data set can be used to learn relevant and common features to solve a specific task with a given...
2021
A Model Ranking Approach for Liquid Loading Onset Predictions
Hao Jia, Jianjun Zhu, Guangqiang Cao, Yingda Lu, Bo Lu, Haiwen Zhu
Unconventional Resources Technology Conference (URTEC)
... model for predicting the onset of liquid loading in various type of gas wells. A database comprising more than 600 gas wells was used to verify...
2021
Unlocking the Potential of Unlabeled Data in Building Deep Learning Model for Dynamometer Cards Classification
Ramdhan Wibawa, Rosyadi Rosyadi, Maulirany Nancy, Muhammad Awqi Gibran, Supriono Hariyadi
Indonesian Petroleum Association
... simultaneously. In a nutshell, the CNN model has the potential to unleash many opportunitiessince it has higher scalability to be used in other fields...
2024
Constructing Meaningful Geologic Models of Shale Gas Systems: An Example from the Horn River Basin, Canada
Rene Jonk, Janice Allen, Lochlann Magennis, Ken Potma, Michael Wansteeker
Unconventional Resources Technology Conference (URTEC)
.... Lithofacies are tied to distinct porosity, permeability and water saturation distributions and thus the resulting geologic model can be used to evaluate...
2013
Well Test Workflow to Characterize Sustainable Water Sources for the Permian Basin Unconventional Development
Yula Tang, Baosheng Liang, Leif Larsen, Hannah Luk
Unconventional Resources Technology Conference (URTEC)
... the layout of the multi-well model used with the September 2015 dataset. This model honors local properties and boundaries from the single-well...
2017
Integrated Geological Modeling and Volumetric Uncertainty Evaluation for the Abadi Gas Field
Kuniaki Takayama, Koichi Kihara, Takahiro Zushi
Indonesian Petroleum Association
... is subsequently used as a guide for permeability modeling. Sw model is constructed based on Sw versus height function prepared for each permeability...
2009
Application of Data Analytics for Production Optimization in Unconventional Reservoirs: A Critical Review
Srikanta Mishra, Luan Lin
Unconventional Resources Technology Conference (URTEC)
... or linear classification-style approach can be used to model them [8] Artificial Neural Networks (ANN) - Computing system made up of simple, highly...
2017
A Novel Fusion: Integrating Artificial Neural Networks and Production Fit Models for Swift and Coherent Data-Physics Predictive Modeling of a Mature Oil Field in Texas
Felipe Ospina, Pallav Sarma, Carlos Calad
Unconventional Resources Technology Conference (URTEC)
... are used to train a model with the capability to predict decline parameters given well characteristics. URTeC: 4043980 3 Methodology Our approach...
2024
Eagle Ford Fluid Type Variation and Completion Optimization: A Case for Data Analytics
Fahd Siddiqui, Ali Rezaei, Birol Dindoruk, Mohamed Y. Soliman
Unconventional Resources Technology Conference (URTEC)
... feasible to train a data-based model to create reliable tools that can be used for prediction of oil and gas production. Data-based approaches can...
2019