Brazos A-105 D-Sand Reservoir Modeling by Integration of Seismic Elastic Inversion Results with Geostatistical Techniques

2006 ◽  
pp. 269-288
Keyword(s):  
Reservoir Modeling ◽  
Geostatistical Techniques ◽  
Elastic Inversion

scholarly journals Evaluation of an uncertainty reduction methodology based on Iterative Sensitivity Analysis (ISA) applied to naturally fractured reservoirs

2019 ◽  
Vol 74 ◽  
pp. 40 ◽  
Author(s):  
Luís Augusto Nagasaki Costa ◽  
Célio Maschio ◽  
Denis José Schiozer
Keyword(s):  
Sensitivity Analysis ◽  
History Matching ◽  
Flow Behavior ◽  
Fractured Reservoirs ◽  
Search Space ◽  
Naturally Fractured Reservoirs ◽  
Reservoir Modeling ◽  
Naturally Fractured ◽  
Geostatistical Techniques

History matching for naturally fractured reservoirs is challenging because of the complexity of flow behavior in the fracture-matrix combination. Calibrating these models in a history-matching procedure normally requires integration with geostatistical techniques (Big Loop, where the history matching is integrated to reservoir modeling) for proper model characterization. In problems involving complex reservoir models, it is common to apply techniques such as sensitivity analysis to evaluate and identify most influential attributes to focus the efforts on what most impact the response. Conventional Sensitivity Analysis (CSA), in which a subset of attributes is fixed at a unique value, may over-reduce the search space so that it might not be properly explored. An alternative is an Iterative Sensitivity Analysis (ISA), in which CSA is applied multiple times throughout the iterations. ISA follows three main steps: (a) CSA identifies Group i of influential attributes (i = 1, 2, 3, …, n); (b) reduce uncertainty of Group i, with other attributes with fixed values; and (c) return to step (a) and repeat the process. Conducting CSA multiple times allows the identification of influential attributes hidden by the high uncertainty of the most influential attributes. In this work, we assess three methods: Method 1 – ISA, Method 2 – CSA, and Method 3 – without sensitivity analysis, i.e., varying all uncertain attributes (larger searching space). Results showed that the number of simulation runs for Method 1 dropped 24% compared to Method 3 and 12% to Method 2 to reach a similar matching quality of acceptable models. In other words, Method 1 reached a similar quality of results with fewer simulations. Therefore, ISA can perform as good as CSA demanding fewer simulations. All three methods identified the same five most influential attributes of the initial 18. Even with many uncertain attributes, only a small percentage is responsible for most of the variability of responses. Also, their identification is essential for efficient history matching. For the case presented in this work, few fracture attributes were responsible for most of the variability of the responses.

A review of three geostatistical techniques for realistic geological reservoir modeling integrating multi-scale data

2015 ◽  
Vol 63 (4) ◽  
pp. 277-286 ◽  
Author(s):  
Brigitte Doligez ◽  
Mickaele Le Ravalec ◽  
Sarah Bouquet ◽  
Mathilde Adelinet ◽  
David Garner
Keyword(s):  
Reservoir Modeling ◽  
Multi Scale ◽  
Geostatistical Techniques ◽  
Scale Data

Carbonate and igneous rock characterization through reprocessing, FWI imaging, and elastic inversion of a legacy seismic data set in Brazilian presalt province

2019 ◽  
Vol 38 (1) ◽  
pp. 11-19 ◽  
Author(s):  
Rodrigo Penna ◽  
Sergio Araújo ◽  
Axel Geisslinger ◽  
Rui Sansonowski ◽  
Leonardo Oliveira ◽  
...  
Keyword(s):  
Flow Behavior ◽  
Igneous Rocks ◽  
Reservoir Modeling ◽  
High Permeability ◽  
Reservoir Properties ◽  
Data Set ◽  
Processing Technologies ◽  
Seismic Processing ◽  
Rock Characterization ◽  
Elastic Inversion

Recent discoveries made in the presalt carbonates of southeast Brazil are among the most important in the past decade. This province, especially Santos Basin, contains large accumulations of oil with excellent quality and high commercial value. The latest seismic processing technologies, along with elastic inversion, have been used for reservoir characterization and in identifying carbonates with high-permeability intervals to model flow behavior of the reservoirs. One challenge encountered is identifying the occurrence of igneous bodies within the reservoir interval and their correct characterization as input into the reservoir modeling. Igneous rocks encountered in the Brazilian presalt can be of both intrusive and extrusive origin. They may present a variety of permo-porous reservoir properties ranging from being flow barriers to acting as high-permeability corridors if fracturing is high enough. The presence of igneous rocks is not common in Brazilian presalt carbonates; therefore, specific methodologies must be used, both in seismic processing and quantitative interpretation, in order to map and predict those occurrences.

TRANSIENT MODELING OF CPL FOR TERRESTRIAL APPLICATION, PART B: RESERVOIR MODELING IMPROVEMENT

2014 ◽  
Vol 5 (1-4) ◽  
pp. 271-278
Author(s):  
N. Blet ◽  
Vincent Ayel ◽  
Yves Bertin ◽  
Cyril Romestant ◽  
Vincent Platel
Keyword(s):  
Reservoir Modeling ◽  
Transient Modeling

Integrating The Geophysical Characterization Of Seismic Thin Beds With Stochastic Reservoir Modeling: A Case Study From The Kutei Basin (Offshore Kalimantan, Indonesia)

2011 ◽  
Author(s):  
Giorgio Rocco Cavanna ◽  
Ernesto Caselgrandi ◽  
Elisa Corti ◽  
Alessandro Amato del Monte ◽  
Massimo Fervari ◽  
...  
Keyword(s):  
Reservoir Modeling ◽  
Geophysical Characterization

Coliform transport in a pristine reservoir: modeling and field studies

1998 ◽  
Vol 37 (2) ◽  
pp. 137-144 ◽  
Author(s):  
Elisa Garvey ◽  
John E. Tobiason ◽  
Michael Hayes ◽  
Evelyn Wolfram ◽  
David A. Reckhow ◽  
...  
Keyword(s):  
Model Development ◽  
Fate And Transport ◽  
Field Studies ◽  
Meteorological Conditions ◽  
Reservoir Modeling ◽  
Vertical Circulation ◽  
Quality Model ◽  
Circulation Patterns ◽  
In Situ Experiments

This paper reports on field studies and model development aimed at understanding coliform fate and transport in the Quabbin Reservoir, an oligotrophic drinking water supply reservoir. An investigation of reservoir currents suggested the importance of wind driven phenomena, and that both lateral and vertical circulation patterns exist. In-situ experiments of coliform decay suggested dependence on light intensity and yielded an appropriate decay coefficient to be used in CE-QUAL-W2, a two-dimensional hydrodynamic and water quality model. Modeling confirmed the sensitivity of reservoir outlet concentration to vertical variability within the reservoir, meteorological conditions, and location of coliform source.

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