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The AAPG/Datapages Combined Publications Database
Showing 185 Results. Searched 200,293 documents.
Lithologic Prediction from Seismic Attributes in the Balcon Field, Colombia
J. E. Calderon
Asociación Colombiana de Geólogos y Geofisicos del Petróleo (ACGGP)
... it is possible to obtain the set of attributes that are optimal in the sense that the mean-squared prediction error between the actual target logs...
2004
Exploring the Thin Talangakar Formation Sandstone Using Integrated Seismic Multi-Attribute Analysis and Spectral Decomposition in Kuang Area, South Sumatra Basin, #10900 (2016).
Noor Cahyo Wibowo
Search and Discovery.com
... has been described by Hampson et al. (2001): 1. Search for the best attribute that has the lowest prediction error. 2. Find the second attribute...
2016
Biostratigraphy and sequence stratigraphy of the Oligocene succession, offshore Nile Delta, southeastern Mediterranean, Egypt, and its paleoenvironmental implications
Ahmed Zakaria, Nabil Aboul Ela, and Samy Ahmed Mohamed
AAPG Bulletin
... and stratigraphic interpretations from the log data. This Cyclolog processing of the data resulted in two patterns of curves, which are prediction error filter...
2019
Mapping Distribution of Sandstone and Seismic Multi-Attribute Analysis Using Linear Regression Method in the "RMS" Field, South Sumatra Basin
Clara Armiliany, Ryan Mulyadi Saragih, Aji Arif Sulaksono, Bagus Sapto Mulyatno, Ordas Dewanto
Indonesian Petroleum Association
... single attribute using trial and error. For each attribute contained in the prediction error is calculated. The best attributes are attributes...
2019
Deep Learning Models for Methane Emissions Identification and Quantification
Ismot Jahan, Mohamed Mehana, Bulbul Ahmmed, Javier E. Santos, Dan O’Malley, Hari Viswanathan
Unconventional Resources Technology Conference (URTEC)
... wind speeds. Figure 5 and 6 represents the plume images with low and high prediction error from the test dataset. The prediction error is not correlated...
2023
Facies-induced bias in machine learning-enhanced seismic lithology (inversion)
Hongliu Zeng, Bo Zhang, Mariana Olariu
International Meeting for Applied Geoscience and Energy (IMAGE)
... prediction error (or large explained variance, R2) appears at the training well and surrounding area of the same facies (FP), which increases (or R2...
2022
Simultaneous inversion of tight sandstone reservoir fluid and brittleness index based on frequency-dependent AVO
Tianjun Lan, Zhaoyun Zong
International Meeting for Applied Geoscience and Energy (IMAGE)
.... In order to reduce the reservoir prediction error and improve the calculation efficiency, the PP-wave reflection coefficient equation characterized...
2023
High resolution imaging using multiples A North Sea case study
Chandan Kumar, Rodney Johnston, Petr Jilek, Xiaolei Song, Mikhail Davydenko
International Meeting for Applied Geoscience and Energy (IMAGE)
... for imaging requires steps like debubble, designature and prediction error filtering to remove the bubble energy and multiples. We observe...
2024
Improved Latin hypercube sampling inversion method of effective reservoir parameter considering compaction trend
Xuan Zheng, Zhaoyun Zong, Kun Luo
International Meeting for Applied Geoscience and Energy (IMAGE)
... the seismic data and inversion results. We can find that the compaction trend causes a large error in the effective reservoir prediction, which...
2024
Cyclostratigraphy for Low Resistivity Reservoir Assessment: An Example from S Field, Northern Kutai Basin
Prayoga Wahyu Pratama, Ikhsansyah Putra Pratama, Boyke Khadafi, Andy Wijaya, Ahmad Yuda Pratama
Indonesian Petroleum Association
... with actual log is called PEFA (Prediction Error Filter Analysis). All of this error value is integrated from bottom to top PEFA data to gain INPEFA...
2017
Estimation of Permeability from Multi Rate Production Logging in Multilayer Reservoirs: A Case Study for Gas Condensate Reservoir
Andi Irawan, Moch Rushatmanto
Indonesian Petroleum Association
... in production prediction. The aim of this study is to improve permeability estimation by incorporating production logging data, which is frequently...
2019
Integrated Geological and Geophysical Analysis by Hierarchical Classification: Combining Seismic Stratigraphic and AVO Attributes (Geophysics Paper 12)
Alexis Carrillat, Tanwi Basu, Raul Ysaccis, Shye Aik Chong, Amiruddin Mansor, Martin Brewer
Geological Society of Malaysia (GSM)
... saturation and a seismic attribute captured by neural network training. To quantify the prediction error, the estimation workflow has been performed...
2008
2011 AAPG Mid-Continent Section Meeting, Oklahoma City, Oklahoma, 1-4 October 2011, - Abstracts, #90133 (2011).
Search and Discovery.com
2011
Quantitative Petrophysical AVO Error Analysis in a Layered Model
Search and Discovery.com
..., Canada Summary In order to minimize reservoir prediction error risk from AVO inversion, it is necessary to study the uncertainties of this inversion...
2013
Seismic and Structural Analysis of a Trenton-Black River Hydrothermal Dolomite Reservoir, by Justine Sagan and Bruce Hart, #40129 (2004).
Search and Discovery.com
2004
Formation Pressure Correction to Enhance the Prediction of the OWC in a Normal Pressure Reservoir, #42105 (2017).
Qian Geng, Su Yanchun, Yang Haifeng, Jianmin Zhang, Zhanhua Zhang, Jia Zhen, Liu Xue
Search and Discovery.com
...=0.791g/cm3 HOWC=-1407.8m - 1 6 40 Well-6 5.4 Reduce the prediction error in Sand 4-1300 5.3 Decrease the deviation in Sand 5-1419 OWC:-1659.2m...
2017
A Parsimonious Approach to Gravity Inversion for Salt Shape Delineation; #42417 (2019)
Simone Re, Luca Masnaghetti, Elena Medina
Search and Discovery.com
...) and predicted (black) gravity data along a profile, in mGal. (e) The data prediction error (red) corresponding to (d), in μGal...
2019
Hydrocarbon Accumulation Uncertainty in Miocene Carbonate Build-Ups, NEJB, #11295 (2020).
Ginanjar Mahar Pamungkas
Search and Discovery.com
... for any prediction error • • INTRODUCTION • STATISTICS • PROBLEM • EFFORTS • CONCLUSIONS EFFORTS FOR UNCERTAINTIES 1. Define concepts and/or analog...
2020
Machine Learning Models for Predicting the Rheology of Nanoparticle-Stabilized-CO2-Foam Fracturing Fluid in Reservoir Conditions
Toluwalase Adeola Olukoga, Yin Feng
Unconventional Resources Technology Conference (URTEC)
... (MSE): absolute assessment of the goodness of fit. By squaring error, the penalty for substantial prediction errors is increased. (6) iii. Root Mean...
2021
Pushing the limit of 5D interpolation using deep learning
Yangkang Chen, Hang Wang, Chao Li, Omar M. Saad
International Meeting for Applied Geoscience and Energy (IMAGE)
...-stationary prediction error filter: Geophysics, 86, no. 5, V419–V429, doi: https://doi.org/10.1190/geo2020-0540.1. Chen, Y., D. Zhang, Z. Jin, X. Chen...
2024
An Empirical Correlation to Predict Relative Permeability in Fractured Reservoirs Considering the Stress State and the Capillary Number
Kelly Díez, Alejandro Restrepo, Alirio Ocampo, Jonny Patiño, Juan Rayo, Diego Ayala, Luis Rueda
Unconventional Resources Technology Conference (URTEC)
... c14 0,15 c15 2073,30 Table 3. Correlation parameters for W-O Kr prediction at variable Nc and σ´. Results The error is calculated by the least...
2022
Data Driven Oil Production Prediction and Uncertainty Quantification for Unconventional Asset Development Planning Through Machine Learning
Xiang (Rex) Ren, Jichao Yin, Feng Xiao, Sasha Miao, Sri Lolla, Changqing Yao, Steve Lonnes, Huafei Sun, Yang Chen, James S. Brown, Jorge Garzon, Piyush Pankaj
Unconventional Resources Technology Conference (URTEC)
... the uncertainty of the estimator given a known predicted value or a known true label. URTeC 3865670 6 Figure 6. Prediction error quantifications. 1...
2023
Machine Learning Methods for Handling Parameter Space Sampling Bias in Unconventional Well Performance Prediction
Oliver Rojas Conde, Henry Galvis Silva, Sebastien Matringe
Unconventional Resources Technology Conference (URTEC)
... of prediction error lies in the non-uniform sampling of historical data. Parameters such as 2-mile lateral lengths and standard completion designs dominate...
2025
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)
... error (11) Mean absolute error (12) R2 (13) Absolute deviation (14) Maximum deviation (15) Prediction percentage with >50% error (16...
2021
Development of the Goodwyn Gas Field, Dampier Sub-Basin
A. Young
Petroleum Exploration Society of Australia (PESA)
... methodology being used. The average prediction error for the whole campaign is 3 m shallower than prognosed. Development wells GWAOl to GWA07 have...
1998