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The AAPG/Datapages Combined Publications Database
Showing 163 Results. Searched 195,387 documents.
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
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
Quantification of Conceptual and Parametric Uncertainties in Fractured Reservoir Models
Paul R. La Pointe, Aaron Fox
AAPG Special Volumes
... is repeated for the entire data or a subset of it. To develop a measure of the model prediction error, the model is used to predict the withheld data...
2011
Toward a global model for correction of bottomhole temperature data: Progress and limitations
Tala Maria Aabø, and Christian Hermanrud
AAPG Bulletin
... temperature data to error estimates on the SFT prediction. Practical application of these methods is, however, made difficult by the requirement...
2019
Seismic Reservoir Characterization of the Abadi Gas Field, Masela PSC Block, West Arafura Sea, Eastern Indonesia
Shinji Matsuura, Shin Saito, Yoshiro Ishii, Hiromi Honda, Ayato Kato, Takao Yagi
Indonesian Petroleum Association
..., and that prediction error will be reduced if the noise were reduced by re-processing. To detect the distribution and the source of the noise will be crucial...
2005
Deterministic and Statistical Wavelet Processing
Lee Lu
Southeast Asia Petroleum Exploration Society (SEAPEX)
... of its previous values. Such a prediction filter is usually designed by minimizing the L2 norm (See discussion in chapter III (e) of the error...
1980
COMBINING GEOSTATISTICS AND MULTI-ATTRIBUTE TRANSFORMS: A CHANNEL SAND CASE STUDY, BLACKFOOT OILFIELD (ALBERTA)
B. Russell, D. Hampson, T. Todorov and L. Lines
Journal of Petroleum Geology
... the prediction error is computed by excluding the target well for each of the input points, calculating the resulting least-squares error...
2002
Managing Frac Hits in Vaca Muerta Oil Development: Insights from a Case Study, Statistical Analysis, and Mitigation Strategies
Juan Filipich, Adrian Oscar Rasgido, Lucia Lamberghini, Victor Hugo Ñañez
Unconventional Resources Technology Conference (URTEC)
... algorithms (XGBoost and CatBoost), which iteratively focused on reducing prediction error and improved an initial model. The model validation involved...
2023
Three-dimensional Seismic Inversion and Geostatistical Reservoir Modeling of the Rotliegend Gas Field
R. K. Shrestha, M. Boeckmann, S. Faruqi, M.-K. Wang
AAPG Special Volumes
... or sparse-spike deconvolution algorithm used a prediction error filter to predict the high-frequency amplitudes based on the pass-band frequency...
2006
Seismic Lithology (AVO) Interpretation at the Badak and Nilam Fields in the Sanga Sanga Block, Kalimantan
William C. Ade, Ian T. McMahon, Wahyudin Suwarlan
Indonesian Petroleum Association
..., initial estimates were influenced by noise, so a spatial prediction error filter method was used. The benefit of this process is shown in Figure 16...
1988
AVO and Inversion Contribute to Makassar Exploration Efforts
William L. Soroka, Herry Andiarbowo, Anung Widodo
Indonesian Petroleum Association
... the inversion result was 1581 m and the actual depth at which a gas bearing sand was encountered was 1577 m. The prediction was in error by only 4 m...
1995
A Statistical Approach to Assessing Depth Conversion Uncertainty on a Regional Dataset: Cooper-Eromanga Basin, Australia
David Kulikowski, Catherine Hochwald, Dennis Cooke, Khalid Amrouch
Petroleum Exploration Society of Australia (PESA)
... the best (lowest prediction error) method for their given data set. This can be replicated and applied to any region around the world with 3D seismic data...
2016
Coherence Attribute Applications on Seismic Data in Various Guises
Satinder Chopra, Kurt Marfurt
Unconventional Resources Technology Conference (URTEC)
... error filter-based (Bednar, 1998) and gradient structure tensor-based (Bakker, 2003). These algorithms vary in how they handle seismic character...
2018
Meramec Velocity Systematics
Jing Fu, Carl Sondergeld, Chandra Rai
Unconventional Resources Technology Conference (URTEC)
... and predicted Vs suggesting that the Meramec velocity systematic can provide a reasonable Vs prediction. A composite log plot of the shear estimation error...
2020
Decomposition of Publicly Reported Combined Hydrocarbon Streams Using Machine Learning in the Montney and Duvernay
K. N. Darnell, K. Crifasi, G. Stotts, D. Tsang, V. Lavoie, T. Cross, D. Niederhut, J.A. Ramey, K. Sathaye
Unconventional Resources Technology Conference (URTEC)
... score (MAPE), which divides the total absolute prediction error by the total actual production, we evaluate the error of the recombined gas model...
2020
2D Seismic and Well Log Data Integration to Predict Pore Pressure Distribution in Brilian Field, Bintuni Basin
Refsi Dian Paparezzi, Warto Utomo, Muhammad Thariq Almuqtadir
Indonesian Petroleum Association
... 2011). where w0, w1, w2, and w4 are weights. This weight can be reduced by minimizing the mean-squared prediction error (Hampson, Schuelke and Quirein...
2022