You need JavaScript to view this

Risk and geological uncertainties in carbonate reservoirs in Santos Basin; Incertezas geologicas e risco em reservatorios carbonaticos na Bacia de Santos

Abstract

The Lower Albian in the south part of Santos Basin is composed mainly of oolitic calcarenites and calcilutites organized in shoaling upward cycles. The calcarenites from the top of the sequence constitute a package of reservoir zones and sub-zones with regional distribution along which are located mature, producing and development phase oil fields. In this work the main factors with major impact in reserves estimation are interpreted and quantified in a probabilistic approach giving support for the development plan phase of a field of the carbonatic trend. The regional stratigraphic and structural interpretations provided information about extension, external geometry, and continuity of the reservoir zones for reserves risk computation. The porosity probability density functions were defined according to stratigraphic position, seismic reflection pattern of calcarenites and also information from the discovery and the appraisal wells. The Decision Tree methodology with Monte Carlo Simulation was used to better understand the impact of geological uncertainties in reserves computation and also as a first step for risk management. The Monte Carlo simulation allows the Multivariate Sensibility and Scenario Analysis, Probabilistic Technical and Economic Evaluation and Optimal Portfolio Stochastic Simulation. (author)
Authors:
Saito, Makoto; Cortez, Marcella M.M.; [1]  Mendes, Marcos Huber
  1. Queiroz Galvao Perfuracoes S.A., Rio de Janeiro, RJ (Brazil)
Publication Date:
Jul 01, 2004
Product Type:
Conference
Report Number:
ETDE-BR-21029009
Resource Relation:
Conference: Rio oil and gas expo and conference 2004, Rio de Janeiro, RJ (Brazil), 4-7 Oct 2004; Other Information: 2 refs., 6 figs.
Subject:
02 PETROLEUM; 58 GEOSCIENCES; OIL FIELDS; RESERVOIR ENGINEERING; PROBABILISTIC ESTIMATION; SEISMIC SURVEYS; GEOLOGIC SURVEYS; CARBONATE ROCKS; RISK ASSESSMENT; DATA COVARIANCES; MONTE CARLO METHOD; COMPUTERIZED SIMULATION
OSTI ID:
21029009
Research Organizations:
Instituto Brasileiro de Petroleo e Gas (IBP), Rio de Janeiro, RJ (Brazil)
Country of Origin:
Brazil
Language:
Portuguese
Other Identifying Numbers:
TRN: BR0802085
Availability:
Also available from the Library of the Brazilian Nuclear Energy Commission, Rio de Janeiro, in electronic form. Codes: IBP298_04; BR0802085.pdf; Commercial reproduction prohibited; OSTI as DE21029009
Submitting Site:
BR
Size:
[7] pages
Announcement Date:
Jun 02, 2008

Citation Formats

Saito, Makoto, Cortez, Marcella M.M., and Mendes, Marcos Huber. Risk and geological uncertainties in carbonate reservoirs in Santos Basin; Incertezas geologicas e risco em reservatorios carbonaticos na Bacia de Santos. Brazil: N. p., 2004. Web.
Saito, Makoto, Cortez, Marcella M.M., & Mendes, Marcos Huber. Risk and geological uncertainties in carbonate reservoirs in Santos Basin; Incertezas geologicas e risco em reservatorios carbonaticos na Bacia de Santos. Brazil.
Saito, Makoto, Cortez, Marcella M.M., and Mendes, Marcos Huber. 2004. "Risk and geological uncertainties in carbonate reservoirs in Santos Basin; Incertezas geologicas e risco em reservatorios carbonaticos na Bacia de Santos." Brazil.
@misc{etde_21029009,
title = {Risk and geological uncertainties in carbonate reservoirs in Santos Basin; Incertezas geologicas e risco em reservatorios carbonaticos na Bacia de Santos}
author = {Saito, Makoto, Cortez, Marcella M.M., and Mendes, Marcos Huber}
abstractNote = {The Lower Albian in the south part of Santos Basin is composed mainly of oolitic calcarenites and calcilutites organized in shoaling upward cycles. The calcarenites from the top of the sequence constitute a package of reservoir zones and sub-zones with regional distribution along which are located mature, producing and development phase oil fields. In this work the main factors with major impact in reserves estimation are interpreted and quantified in a probabilistic approach giving support for the development plan phase of a field of the carbonatic trend. The regional stratigraphic and structural interpretations provided information about extension, external geometry, and continuity of the reservoir zones for reserves risk computation. The porosity probability density functions were defined according to stratigraphic position, seismic reflection pattern of calcarenites and also information from the discovery and the appraisal wells. The Decision Tree methodology with Monte Carlo Simulation was used to better understand the impact of geological uncertainties in reserves computation and also as a first step for risk management. The Monte Carlo simulation allows the Multivariate Sensibility and Scenario Analysis, Probabilistic Technical and Economic Evaluation and Optimal Portfolio Stochastic Simulation. (author)}
place = {Brazil}
year = {2004}
month = {Jul}
}