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The AAPG/Datapages Combined Publications Database
Showing 185 Results. Searched 200,357 documents.
Unlocking Efficiency in Gas Lift System Operation: A Data Driven Approach for Early Problem Identification Using Machine Learning and Digitalized Two-Pen Recorder Chart
Sri Dwi Mustaqim, Amega Yasutra
Indonesian Petroleum Association
... using parameter values that can cover the entire classification. The prediction error on the problem in the form of a kick is caused by the failure...
2024
A Deep Learning-Based Surrogate Model for Rapid Assessment of Geomechanical Risks in Geologic CO2 Storage
Fangning Zheng, Birendra Jha, Behnam Jafarpour
Carbon Capture, Utilization and Storage (CCUS)
... the prediction error of the effective plastic strain. In summary, our study demonstrated the effectiveness of the proposed U-Net model in predicting various...
2024
Machine Learning Approach to Improve Calculated Bottom-hole Pressure
Esmail Eltahan, Reza Ganjdanesh, Wei Yu, Kamy Sepehrnoori, Ryan Williams, Jack Nohavitsa
Unconventional Resources Technology Conference (URTEC)
... , 𝜎). 𝜎 is either inherited from the uncertainty model or defined based on the average error of the predictive method. If the replaced prediction violates...
2021
Reservoir Management: Exploring Uncertainty in Subsurface Modelling and Forecasting
Jon Sætrom, Philip Neri
GEO ExPro Magazine
... modelling hypothesis, with the goal of providing specific deliverables with a quantification of the prediction error. Delivering Value Ensemble-based...
2022
Uncertainty Analysis for Top Tuban Carbonate Prediction using Velocity Modeling Design in "Aquila" Field, East Java Basin
Ayu Indri Firdani, Azhar Kholiq Affandi, Erik Wahyu Irawan, Kamal, M. Wahdanadi Haidar, M. Freddy Yulisasongko
Indonesian Petroleum Association
... error. The prediction of a better depth marker can precisely increase the quality of the interpretations for calculating the pertinent value...
2015
Prolog
John H. Doveton
AAPG Special Volumes
... inference methods for calibration, prediction, and error analysis of reservoir rock properties. The focus of Chapter 2 is on graphical pattern recognition...
1994
A Simple Universal Equation for Grain Settling Velocity
R.I. Ferguson, M. Church
Journal of Sedimentary Research (SEPM)
... = 1.2 for higher values, his equation gave an overall root-mean-square (rms) prediction error of ± 15% for a set of 115 experimental values...
2004
Abstract: Time Domain Least-squares Prestack Migration; #90172 (2014)
Ricardo C. Rebollo, Mauricio D. Sacchi
Search and Discovery.com
... and Sacchi (2009) via FX-domain prediction error filters and Leaney et. al (2009) via dip-steering operators estimated from migrated VSP images...
2014
Predicting Seismic Data Quality from Multispectral Satellite Imagery in Alberta Oil Sands; #41335 (2014)
Andrew V. Barrett, Art Siewert, and Ron Weedmark
Search and Discovery.com
... of the cluster. 6) Using that subset of quality factors, estimate a linear prediction function (and associated prediction error) which optimally predicts...
2014
Impact of Natural Fracture Induced Elastic Anisotropy on Completion and Fracturing Design in Different Shale Reservoirs
Emre Can Dundar, Aymen Alhemdi, Ming Gu
Unconventional Resources Technology Conference (URTEC)
... barrier. In the figure, the Y axis is the prediction error of stress barriers, which is calculated from the stress barrier predicted by the TI model...
2019
PVT Correlations for Unconventional Reservoir Fluids Bridging Lab and Field Applications
Michael B. Cronin, Edward C. Wanat, Thomas A. Blasingame
Unconventional Resources Technology Conference (URTEC)
..." prediction error for retrograde fluid data. Figure 1b — Predicted versus measured saturation pressure (psat) for the Dindoruk and Christman correlation...
2023
A New Method for Handling the Nugget Effect in Kriging
K. Krivoruchko, A. Gribov, J. M. Ver Hoef
AAPG Special Volumes
... on filtered kriging produces smoother maps without the jumps. A consequence of filtering is that the standard error of prediction is smaller because...
2006
Permeability Prediction Using Projection Pursuit Regression in the Abadi Field
Ricardo Oentoe, Kentaro Hasebe, Masahiko Nomura
Indonesian Petroleum Association
... between log derived Kh and well test Kh in this interval may be the porosity estimation error propagates to permeability prediction. This permeability...
2016
Abstract: Density Analysis to Predict Carbonate Reservoirs in Volcanic Clastic Environment, Implications, by Ary Wahyu Wibowo, Astri Pujianto, Wisnu Hindadari, Rusalida Raguwanti, and Yuda Faisal Yushendri; #90166 (2013)
Search and Discovery.com
2013
Optimizing Engineering for Permian Geology/Fluid Using Model-Based Analytics, #11151 (2018).
Murray Roth, Michael Roth,
Search and Discovery.com
... Quality Average correlation of predictions for included wells Total wells in prediction model Average prediction error for future wells Average...
2018
Functional Relationships of Proximate, Ultimate and Petrographic Data with Rock-Eval Pyrolysis Parameters from Coal
J.D. Yeakel
The Society for Organic Petrology (TSOP)
.... The prehction errors for functions 1-3 are between 53 and 63 mg HC/g of rock in 90% of the cases tested. This prediction error represents the expected error...
1994
A Deep Learning Approach to Predicting Remaining Useful Life for Downhole Drilling Sensors Using Synthetic Data Generation
Aamir Bader Shah, Yu Wen, Jiefu Chen, Xuqing Wu, Xin Fu
Unconventional Resources Technology Conference (URTEC)
...% demonstrating lowest prediction error on all test cases. XGBoost being the second best with an RMSE of 8.28% and MAPE of 17.30%. The approach implies...
2024
Core Driven Hierarchical Facies Modeling of Shoreface Environments: A Case Study from Offshore Sabah, Malaysia; #20204 (2013)
Sachin K. Sharma, Michael Chin, Tanwi Basu, Ram Oruganti Bhargava, Richard Henson, Long Jiang, Mimi Azura B. Shuhaimi, and Luca Vizzini
Search and Discovery.com
... the training and prediction error. Integrated log patterns of these inputs were used to characterize five lithofacies in the cored wells (high quality...
2013
Evaluation of Radial Basis Function Neural Networks in Reservoir Characterization of Caddo Member in Boonsville Field, Texas, #20219 (2013)
Tao Zhao, Kumar Ramachandran
Search and Discovery.com
... porosity prediction error is around 20%. Reference Cited Chao, J., M. Hoshino, T. Kitamura, and T. Masuda, 2001, A multilayer RBF network and its...
2013
Finding a Better Path to Impedance Inversion; #41722 (2015)
Amit Kumar Ray, Ritesh Kumar Sharma, Satinder Chopra
Search and Discovery.com
... it. This analysis is repeated as many times as there are wells on the 3-D volume. Once this is done, the cross-validation prediction error is calculated...
2015
Organically-Rich Sweet Spot Determination in Utica Shale; #42137 (2017)
Satinder Chopra, Ritesh Kumar Sharma, Hossein Nemati, James Keay
Search and Discovery.com
... the training data set and the prediction error is calculated at the excluded well location. The analysis is repeated for all wells, each time excluding...
2017
Innovative Petrophysical Evaluation Workflow Enhances Production: A Case Study from Barmer Basin, NW India; #42200 (2018)
A.K. Bora, P. Majumdar, S. Verma, S. Konar, P. Kumar, P. Shankar, V. Kothari
Search and Discovery.com
... Background Prediction error in KH can impact most in forecasting the production rates. Hence KH prediction is the most important criteria in tight...
2018
Automated Salt Recognition in 2D Seismic and Mapping Basin-Wide Salt in the Gulf of Mexico, #42367 (2019).
Scott Morris, Tony Dupont, Shuang Li, John D. Grace,
Search and Discovery.com
... 0.15 Color Total 3.61 Point-Wise Grade: • Decimate Graded Line • Estimate Grade Surface via Kriging • Estimate Prediction Error Surface • Produce...
2019
Determination of Density from Seismic Data; #42456 (2019)
Ritesh Kumar Sharma, Satinder Chopra
Search and Discovery.com
...-validation criteria, in which one well at a time is excluded from the training data set and the prediction error is calculated at the excluded well location...
2019
PWD-PINN: Slope-assisted seismic interpolation with physics-informed neural networks
Francesco Brandolin, Matteo Ravasi, Tariq Alkhalifah
International Meeting for Applied Geoscience and Energy (IMAGE)
...-distance prediction error filters (T-X PEF - Claerbout and Brown 1999) and plane-wave destructor filters (PWD - Fomel 2002). In the latter approach, seismic...
2022