BOAST 98-MC: A Probabilistic Simulation Module for BOAST 98

PDF Version Also Available for Download.

Description

This work was performed by Advanced Resources International (ARI) on behalf of the United States Department of Energy (DOE) in order to develop a user-friendly, PC-based interface that couples DOE's BOAST 98 software with the Monte Carlo simulation technique. The objectives of the work were to improve reservoir management and maximize oil recoveries by understanding and quantifying reservoir uncertainty as well as improving the capabilities of DOE's BOAST 98 software by incorporating a probabilistic module in the simulator. In this model, probability distributions can be assigned to unknown input parameters such as permeability, porosity, etc. Options have also been added ... continued below

Creation Information

Sultana, Aiysha; Oudinot, Anne; Gonzalez, Reynaldo & Reeves, Scott September 8, 2006.

Context

This report is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. More information about this report can be viewed below.

Who

People and organizations associated with either the creation of this report or its content.

Provided By

UNT Libraries Government Documents Department

Serving as both a federal and a state depository library, the UNT Libraries Government Documents Department maintains millions of items in a variety of formats. The department is a member of the FDLP Content Partnerships Program and an Affiliated Archive of the National Archives.

Contact Us

What

Descriptive information to help identify this report. Follow the links below to find similar items on the Digital Library.

Description

This work was performed by Advanced Resources International (ARI) on behalf of the United States Department of Energy (DOE) in order to develop a user-friendly, PC-based interface that couples DOE's BOAST 98 software with the Monte Carlo simulation technique. The objectives of the work were to improve reservoir management and maximize oil recoveries by understanding and quantifying reservoir uncertainty as well as improving the capabilities of DOE's BOAST 98 software by incorporating a probabilistic module in the simulator. In this model, probability distributions can be assigned to unknown input parameters such as permeability, porosity, etc. Options have also been added to the input file to be able to vary relative permeability curves as well as well spacing. Hundreds of simulations can then automatically be run to explore the many combinations of uncertain reservoir parameters across their spectrum of uncertainty. Output data such as oil rate and water rate can then be plotted. When historical data are available, they can be uploaded and a least-square error-function run between the simulation data and the history data. The set of input parameters leading to the best match is thus determined. Sensitivity charts (Tornado plots) that rank the uncertain parameters according to the impact they have on the outputs can also be generated.

Language

Item Type

Identifier

Unique identifying numbers for this report in the Digital Library or other systems.

  • Report No.: None
  • Grant Number: FC26-04NT15528
  • DOI: 10.2172/918424 | External Link
  • Office of Scientific & Technical Information Report Number: 918424
  • Archival Resource Key: ark:/67531/metadc889027

Collections

This report is part of the following collection of related materials.

Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

What responsibilities do I have when using this report?

When

Dates and time periods associated with this report.

Creation Date

  • September 8, 2006

Added to The UNT Digital Library

  • Sept. 22, 2016, 2:13 a.m.

Description Last Updated

  • Dec. 2, 2016, 8:40 p.m.

Usage Statistics

When was this report last used?

Yesterday: 0
Past 30 days: 0
Total Uses: 6

Interact With This Report

Here are some suggestions for what to do next.

Start Reading

PDF Version Also Available for Download.

Citations, Rights, Re-Use

Sultana, Aiysha; Oudinot, Anne; Gonzalez, Reynaldo & Reeves, Scott. BOAST 98-MC: A Probabilistic Simulation Module for BOAST 98, report, September 8, 2006; United States. (digital.library.unt.edu/ark:/67531/metadc889027/: accessed January 20, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.