#TITLE_ALTERNATIVE#

ABSTRACT: <br /> <br /> <br /> One of the main problems in the description of reservoir properties is related to availability of sample data. Limitation in quantity as well as distribution of this data leads to unsatisfied realization of inter-well reservoir characterization. In t...

Full description

Saved in:
Bibliographic Details
Main Author: Trikoranto (NIM 22292008), Herutama
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/8128
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:8128
spelling id-itb.:81282017-09-27T15:07:43Z#TITLE_ALTERNATIVE# Trikoranto (NIM 22292008), Herutama Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/8128 ABSTRACT: <br /> <br /> <br /> One of the main problems in the description of reservoir properties is related to availability of sample data. Limitation in quantity as well as distribution of this data leads to unsatisfied realization of inter-well reservoir characterization. In the circumstances of this lacking of data, several number of geostatistics methods have been developed to estimate distribution of reservoir parameter in that unsampled location. Recent development in seismic data processing and analysis, that is seismic inversion, has been able to furnish a footstep to define such physical reservoir data in inter well vertical section. This inversion processing yields seismic impedance; an acoustic parameter that is a product of rock density and seismic wave velocity. A stochastic cloud transform method instead of deterministic ones will be applied to change this acoustic impedance to porosity. This work tries to integrate this stochastic procedure with Simulated Annealing Method (SAM) to optimize the result of porosity description in limestone reservoir. Spatial relationship between reservoir parameters will be formulated as semivariograms. Due to strong relationship between impedance and porosity, semivariogram in lateral direction will be derived from acoustic impedance data; whereas that in vertical direction will be defined from log data in reference wells It is not beyond our prediction that the realization of this research exhibits better result than that of previous work by Perez. Pearson coefficient calculated to quantify realization at a test-well gives the value of 0.61. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description ABSTRACT: <br /> <br /> <br /> One of the main problems in the description of reservoir properties is related to availability of sample data. Limitation in quantity as well as distribution of this data leads to unsatisfied realization of inter-well reservoir characterization. In the circumstances of this lacking of data, several number of geostatistics methods have been developed to estimate distribution of reservoir parameter in that unsampled location. Recent development in seismic data processing and analysis, that is seismic inversion, has been able to furnish a footstep to define such physical reservoir data in inter well vertical section. This inversion processing yields seismic impedance; an acoustic parameter that is a product of rock density and seismic wave velocity. A stochastic cloud transform method instead of deterministic ones will be applied to change this acoustic impedance to porosity. This work tries to integrate this stochastic procedure with Simulated Annealing Method (SAM) to optimize the result of porosity description in limestone reservoir. Spatial relationship between reservoir parameters will be formulated as semivariograms. Due to strong relationship between impedance and porosity, semivariogram in lateral direction will be derived from acoustic impedance data; whereas that in vertical direction will be defined from log data in reference wells It is not beyond our prediction that the realization of this research exhibits better result than that of previous work by Perez. Pearson coefficient calculated to quantify realization at a test-well gives the value of 0.61.
format Theses
author Trikoranto (NIM 22292008), Herutama
spellingShingle Trikoranto (NIM 22292008), Herutama
#TITLE_ALTERNATIVE#
author_facet Trikoranto (NIM 22292008), Herutama
author_sort Trikoranto (NIM 22292008), Herutama
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
title_fullStr #TITLE_ALTERNATIVE#
title_full_unstemmed #TITLE_ALTERNATIVE#
title_sort #title_alternative#
url https://digilib.itb.ac.id/gdl/view/8128
_version_ 1820664334820311040