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The AAPG/Datapages Combined Publications Database

Showing 185 Results. Searched 200,293 documents.

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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, JoshŽ 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

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