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The AAPG/Datapages Combined Publications Database
Showing 185 Results. Searched 200,293 documents.
Research of high-precision depth interpretation method for low-amplitude offshore reservoir and its application in C oilfield, Bohai Bay Basin
Wenbin Li, Jianli Wang, Zhenglong Zhang, Heng Zhang
International Meeting for Applied Geoscience and Energy (IMAGE)
... high-precision depth prediction of low-amplitude offshore oilfield successfully (Fig.1b) and brought an average depth error of more than 50 adjustment...
2022
Operator chains and seismic data decomposition
Sergey Fomel
International Meeting for Applied Geoscience and Energy (IMAGE)
... to this approach, the variable phase φn (t) of different components is determined by estimating a non-stationary prediction-error filter (PEF) using...
2022
Fractured Reservoir Characterization: Integrating Production and Seismic Data to Optimize Well Placement in Bluebell Field, Uinta Basin, NE Utah
Steven L. Adams, James Schuelke, Dennis Shannon, John Kucewicz, Christopher Latkiewicz
Unconventional Resources Technology Conference (URTEC)
..., the correlation was only 43 percent, with a probability error range of approximately one million barrels of fluid, resulting in an unacceptable prediction map...
2014
Deep learning based microearthquake location prediction at Newberry EGS using physics-informed synthetic dataset
Zi Xian Leong, Tieyuan Zhu
International Meeting for Applied Geoscience and Energy (IMAGE)
... learning methods, the PMLP enables uncertainty quantification. In synthetic tests, the model demonstrates low prediction errors (~ 40 m distance error...
2023
Predicting Formation Target Depth Ahead of the Bit with High Accuracy: A Case Study from the Arun Field for a Deviated Well
William L. Soroka
Indonesian Petroleum Association
..., a prediction was made that was in error by less than one foot. The need for setting casing close to the reservoir interface was due to the fact...
1996
First arrival enhancement by statics preserving filtering using surface-consistent constraints
Alejandro Quiaro, Mauricio D. Sacchi
International Meeting for Applied Geoscience and Energy (IMAGE)
... the problem is by using prediction error filtering (PEF). The PEF would allow attenuating random noise (Soubaras, 1994). However, in its theoretical...
2023
Lithology Discrimination and Pore-Fluid Detection Using 3D Pre-Stack Simultaneous Inversion: A Case Study at Gumai Formation, Jambi Sub-Basin, South Sumatra
Widia Anggraeni, Mawar Indah Nursina, Andri Syafriya, Bagus Sapto Mulyatno, Muh Sarkowi
Indonesian Petroleum Association
..., dan Backus, M.M., 1996, Waveformbased AVO Inversion and AVO Prediction-Error: Geophysics, v.61, p.1575-1588. Suta, I Nyoman., 2003, Reservoir...
2018
Natural and Hydraulic Fracture Density Prediction and Identification of Controllers
Whitney Campbell, Joe Wicker, James Courtier
Unconventional Resources Technology Conference (URTEC)
..., the lithological variation in the formation is the dominant controller on the natural fracture intensity development. The NFM prediction error is impacted...
2018
Pore-Pressure Prediction in the Permian Basin Using Seismic Prestack Inversion
Colin Sayers, Lennert den Boer
Unconventional Resources Technology Conference (URTEC)
... pressure, and V is vertical stress. In general, an optimal functional form for the transform is determined by minimizing prediction error during...
2019
Evaluation of Machine Learning Methods for Automatic Facies Classification As a Tool for Determining Sandstone and Limestone Reservoir
Irvan Rahadian Putra, M. Irsyad Hibatullah, Christopher Salim, Firman Syaifuddin
Indonesian Petroleum Association
... simpler models, it is believed it will minimize the overall prediction error (Grover, 2017). METHOD In order to compare those machine learning...
2019
The Comparison between Empirical and Data-driven Computation in Predicting CO and NOx Emissions from Gas-Turbine-Based Power Plant
Tristantyo Yoga Wicaksono, Mordekhai, Nadiyatur Rahmatikal Wasi'ah
Indonesian Petroleum Association
... error prediction that caused by some uncontrollable aspects, such as: ambient temperature, pressure and Predictive Emissions Monitoring System (PEMS...
2021
Santan Delta Evolution and Its Implication to The Petroleum System in North of Kutei Basin
Hendry Setiawan Lie, Reynaldy Fifariz, Ninda Agri Kharisa, Sigit Ari Prabowo, Befriko Saparindra Murdianto, Dwiharso Nugroho
Indonesian Petroleum Association
... pattern, stratigraphy system tract, changing of stacking pattern, biostratigraphy, core analysis, Integrated Prediction Error Filter Analysis (INPEFA...
2022
Pore Pressure Configuration in Balikpapan Bay Area
Hendry Setiawan Lie, Oddy Adnan Mudatsir, Novrianto Pamilwa Citajaya, Sigit Arisetiadi Umri, Benyamin Sapiie
Indonesian Petroleum Association
...t, Integrated Prediction Error Filter Analysis (INPEFA) and seismic. Sequence Boundary (SB) and Maximum Flooding Surface (MFS) are used as key marker...
2022
Predicting Coiled-Tubing Drilling Dynamics Using Transformers
Carlos Urdaneta, Cheolkyun Jeong, Xuqing Wu, Jiefu Chen
Unconventional Resources Technology Conference (URTEC)
... minimizing the prediction error. To evaluate the model's performance, we utilize real-world CTD data not included in the training process...
2024
Multi-Modal Neural Network for Porosity and Permeability Estimation in Tight Gas Reservoirs: A Case Study in the Ordos Basin, China
Shengjuan Cai, Yitian Xiao, Han Wang, Feifei Gou, Hanqing Wang, Yujie Zhou, Tianrui Ye
Unconventional Resources Technology Conference (URTEC)
...ing to assess its predictive accuracy and generalization. Evaluation metrics include mean absolute error (MAE) to quantify average prediction error, root m...
2025
Extended Abstract: Developing a Geospatial Model for Analysis of a Dynamic, Heterogeneous Aquifer: The Brazos River Alluvium Aquifer, Central Texas
Stephanie S. Wong, Joe C. Yelderman Jr., Bruce Byars
GCAGS Transactions
... prediction error for the entire study area was 9.0 ft (2.7 m). The mean absolute prediction errors for McLennan County and Falls County were 6.2 ft (1.9 m...
2012
Estimation of Uranium Endowment in the Westwater Canyon Member, Morrison Formation, San Juan Basin, Using a Data-Directed Numerical Method
Richard B. McCammon, Warren I. Finch, John O. Kork, Nancy J. Bridges
AAPG Special Volumes
... of this error can be obtained using the validation area. When one-level prediction is used, two types of error can occur: (A) the error of assigning...
1986
Abstract: A Comparison of 5D Reconstruction Methods; #90187 (2014)
A. Stanton, N. Kreimer, D. Bonar, M. Naghizadeh, and M. D. Sacchi
Search and Discovery.com
... and denoising of seismic data because they do not require velocity information to reconstruct the data. Such methods include prediction error filter...
2014
Abstract: Least Squares Pre-Stack Time Migration for Imaging and Reconstruction of Converted Waves; #90224 (2015)
Aaron Stanton
Search and Discovery.com
... prediction-error filters. While prior efforts have focussed primarily on P-wave seismic data, this article considers the application of least squares...
2015
Pore Pressure Prediction Based on High Resolution Velocity Inversion in Carbonate Rocks, Offshore Sirte Basin - Libya; #40551 (2010)
Robert M. Gruenwald, Javier Buitrago, Jack Dessay, Alan Huffman, Carlos Moreno, Jose Maria Gonzalez Munoz, Carlos Diaz, Khaeri Segayer Tawengi
Search and Discovery.com
... pressures ahead of the bit. Open fracture systems can cause the pre-drill prediction to be in error because of vertical fluid migration across formations...
2010
Utilising Stratigraphic Driven Approaches and Simulations to Build Robust 3-D Geologic Models for Miocene Reservoirs, Josh Field, Niger Delta; #20389 (2017)
Taiwo J. Afuye, Osezele Osaele, Olatokunbo Ojo
Search and Discovery.com
... in a consistent manner. The result (Figure 2) was fine-tuned to reduce training and prediction error. It provides the link, which ensures that the reservoir...
2017
Estimated Ultimate Recovery Using the Digital Analogue Shale Model
Michael Friedel, Raul Rechden
Unconventional Resources Technology Conference (URTEC)
... of the lack of available data. Ultimately, this approach provides a measure of model prediction error. Performance In using the SOM as an estimator, it may...
2020
Chapter 21: Evidence of Fault–Fracture “Hydrothermal” Reservoirs in the Southern Midcontinent Mississippian Carbonates
Priyank Jaiswal, Jay M. Gregg, Shawna Parks, Robert Holman, Sahar Mohammadi, G. Michael Grammer
AAPG Special Volumes
... (e.g., inverse, cosine or log) regresses best with porosity, which is interpreted from log (minimizes the prediction error in a root-mean-square [RMS...
2019
Geostatistical Modeling of the Spaces of Local, Spatial, and Response Uncertainty for Continuous Petrophysical Properties
P. Goovaerts
AAPG Special Volumes
... algorithm should not be used for all purposes. For example, Table 4 gives for each response variable the average absolute prediction error (AAPE...
2006
Application of Assisted History Matching Workflow to Shale Gas Well Using EDFM and Neural Network-Markov Chain Monte Carlo Algorithm
Sutthaporn Tripoppoom, Wei Yu, Kamy Sepehrnoori, Jijun Miao
Unconventional Resources Technology Conference (URTEC)
... by the networks, is validated for the NN prediction error. The objective of having calibration data set is to prevent the overtraining of NN. The training...
2019