An Integrated Analytics and Machine Learning Solution for Predicting the Anisotropic Static Geomechanical Properties of the Tuscaloosa Marine Shale

Cristina Mariana Ruse, Jamal Ahmadov, Ning Liu, Mehdi Mokhtari

Unconventional Resources Technology Conference (URTEC)

... in both vertical and horizontal directions and generate accurate closure stress estimates. The low prediction error achieved for the minimum horizontal...

AAPG/Datapages Discovery Series No. 7: Multidimensional Basin Modeling, Chapter 19: Uncertainty of Petroleum Generation Using Methods of Experimental Design and Response Surface Modeling: Application to the Gippsland Basin, Australia

Wendebourg, J.

AAPG Special Volumes

... of the regression model based on the prediction error sum of squares (PRESS) residuals (Myers and Montgomery, 1995). The latter is an important coefficient...

Fluid Prediction from 3-D Seismic Data in Deepwater Sandstone Reservoirs: Applications from Cocuite Gas Field, Veracruz Basin, Southeastern Mexico

Fouad, Khaled, Jennette, David C., Soto-Cuervo, Arturo

GCAGS Transactions

.... The stepwise regression technique was used to define the best combination of attributes with the lowest prediction error (Draper and Smith, 1966...

Early EUR Indicator for Permian Basin Unconventional Resources Based on Hourly Flowback Data

Xueying Xie, Shunhua Liu, Courtney Leiker

Unconventional Resources Technology Conference (URTEC)

... not found.) for the entire dataset and can serve as the mid case 1-year cumulative oil production prediction. Error! Reference source not found. also...

Industry Consortium Insights: Benchmarking Bottomhole Pressure Calculations in Tight Unconventionals

M. Carlsen, A. Proaño, V. Chavali, C. H. Whitson, M. M. Dahouk, S. Mydland, S. Liem, N. Longenbaugh, R. Sinha, J. Billings, D. Axelson, A. Lerza, B. Collins, N. Lightner, J. v. Dijken, I. Arguello, M. Watson

Unconventional Resources Technology Conference (URTEC)

...l data. Additionally, our analysis does not reveal a consistent relationship between fluid ratio and prediction error, cautioning agains...

Three-Dimensional Seismic Attributes Help Define Controls on Reservoir Development: Case Study from the Red River Formation, Williston Basin

R. A. Pearson, B. S. Hart

AAPG Special Volumes

... of seismic attributes. The average prediction error from exclusion testing increases with the addition of a third attribute indicating two...

Proxy Models for Fast Transfer of Static Uncertainty to Reservoir Performance Uncertainty

Jose Walter Vanegas, Luciane Cunha, Clayton V. Deutsch

AAPG Special Volumes

... of Chemicals and Fuels Engineering, University of Utah, Salt Lake City, Utah, 264 p.Vanegas, J. W., J. C. Cunha, and L. B. Cunha, 2006, Prediction...

Abstract: Data Mining in Identifying Carbonate Litho-Facies from Well Logs Based from Extreme Learning and Support Vector Machines, by Emad A. El-Sebakhy, Ognian Asparouhov, Abdulazeez Abdulraheem, Abdul-Aziz Al-Majed, Donghui Wu, and Kris Latinski; #90105 (2010)

Search and Discovery.com

Abstract: Real-time Bit Wear Prediction and Deployment Validation in Challenging Hard and Heterogeneous Sandstones using 3D Detailed and Simplified Physics-Based Progressive Wear Models; #91204 (2023)

Guodong (David) Zhan, William B. Contreras Otalvora, Xu Huang, Reed Spencer, John Bomidi

Search and Discovery.com

... force model with the least training error and the least number of model fitting parameters is selected by the ensemble for performance prediction and bit...

III Columbia Oil & Gas Investment Conference: Conventional & Unconventional Hydrocarbon Resources - Abstracts

Asociación Colombiana de Geólogos y Geofisicos del Petróleo (ACGGP)

... modelpredicted and actual measured pore pressures. With this approach, the quality of the pressure estimation is quantified and ranked using prediction error...

Data-Driven Approach to Optimize Stimulation Design in Eagle Ford Formation

Francisco Herrero Clar, Agustin Monaco

Unconventional Resources Technology Conference (URTEC)

...: prediction and inference. In the first case both error types are important and both contribute to prediction uncertainty. In the later case, the objective...

Case of Study: Applying Data Analytics to Reveal Most Important Parameters Impacting Well Production Performance in Vaca Muerta Unconventional Formation

Alejandro Lerza, Juan Jose Fernandez, Ana Marlats, Diego Gallart

Unconventional Resources Technology Conference (URTEC)

... consist on measuring the increase in prediction error after permuting the features value, while others might quantify importance as the error...

Multi-Detector, Pulsed Neutron-Based Synthetic Openhole Logs- An Unconventional Gas Reservoir Case Study

Yonghwee Kim, David Chace

Unconventional Resources Technology Conference (URTEC)

... minimizing the overall convergence error. Each weight shares contribution to any prediction error with other weights. A back-propagation algorithm decides...

Petroleum Analytics Learning Machine to Forecast Production in the Wet Gas Marcellus Shale

Roger N. Anderson, Boyi Xie, Leon Wu, Arthur A. Kressner, Joseph H. Frantz Jr., Matthew A. Ockree, Kenneth G. Brown

Unconventional Resources Technology Conference (URTEC)

... production (Blue). PALM Production-Prediction Error Figure 11 quantitatively shows the increase in accuracy as the number of attribute Importance Weights...

The Petrophysical Integration of Four Volumetric End Points Applied to an Indonesian Carbonate

Mark Deakin, David R. Smith

Indonesian Petroleum Association

... hydrocarbon saturation end point. If the Ro prediction is in error, hydrocarbon saturation (Sh) will also be in error, particularly in the low Sh region close...

Rate of Penetration (ROP) Modeling Using Hybrid Models: Deterministic and Machine Learning

Chiranth Hegde, Cesar Soares, K. E. Gray

Unconventional Resources Technology Conference (URTEC)

... for prediction of ROP ahead of the bit (colored green in Figure 2). It is important to ensure that test error is low (not just the training error) since low...

Evaluation and Optimization of Completion Design using Machine Learning in an Unconventional Light Oil Play

Luisa Porras, Christopher Hawkes, Arshad Islam

Unconventional Resources Technology Conference (URTEC)

... is not important if, when shuffling the values, the error remains the same because this means that the model avoided the feature during the prediction...

Transfer Learning with Recurrent Neural Networks for Long-term Production Forecasting in Unconventional Reservoirs

Syamil Mohd Razak, Jodel Cornelio, Young Cho, Hui-Hai Liu, Ravimadhav Vaidya, Behnam Jafarpour

Unconventional Resources Technology Conference (URTEC)

... as the features in 𝒑, we observe larger prediction error for the latitude and longitude scenarios. Figure 11. RMSE of the training set, testing set, testing set...

Synthetic Data-driven Hybrid Deep Learning Methodology for Predicting Remaining Useful Life of Sensors in Downhole Drilling Equipment

Aamir Bader Shah, Yu Wen, Jiefu Chen, Xuqing Wu, Renjie Hu, Xin Fu

Unconventional Resources Technology Conference (URTEC)

... at time 𝑡. 𝑦 The learning objective is to find the optimal parameters 𝜃 that minimize the expected prediction error over the distribution of possible...

Advanced Seismic-stratigraphic Imaging of Depositional Elements in a Lower Cretaceous (Mannville) Heavy Oil Reservoir, West-central Saskatchewan, Canada

Sabrina E. Sarzalejo Silva, Bruce S. Hart

AAPG Special Volumes

... for the application of neural networks to predict the GR was 0.90, and the prediction error was 13 API units (6.5%). Figure 8 shows the result...

Thermal Conductivity of Wilcox and Frio Sandstones in South Texas (Gulf of Mexico Basin)

Thomas E. McKenna, John M. Sharp Jr., F. Leo Lynch

AAPG Bulletin

...------------------------------ sandstones; the large prediction error for the nonquartzose samples is evident in Figure 5a. The multicomponent, geometric mixing...

Analysis of Recent and Historical Salt-Crust Thickness Measurements and Assessment of their Relationship to the Salt Laydown Project, Bonneville Salt Flats, Tooele County, Utah

W. W. White III, Moises Terrazas

Utah Geological Association

... bore-hole data are in parentheses): 1) mean prediction error should be near zero (0.00129); 2) average standard error should be close to the root-mean...

Characteristics of Microzonation Modelling in Reservoir Evaluation

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Optimising CO2 storage resource utilisation: insights from the Otway Stage 4 field program

Max Watson, Hadi Nourollah, David Bason, Scott Higgs, Sally Benson, Peter Cook, Yong-Chan Park, Mitch Allison, Ziqiu Xue

Australian Energy Producers Journal

..., will be reviewed considering the collected data and predictive models. To assess the performance improvement and to account for any prediction error, a forward model...

Averaging Predictions of Rate-Time Models Using Bayesian Leave-Future-Out Cross-Validation and the Bayesian Bootstrap in Probabilistic Unconventional Production Forecasting

Leopoldo M. Ruiz Maraggi, Larry W. Lake, Mark P. Walsh

Unconventional Resources Technology Conference (URTEC)

... Cross-Validation We rarely have access to out-of-sample data (new realizations of the data). One attempt to capture outof-sample prediction error...