APPLICATION OF EXTENDED ELASTIC IMPEDANCE INVERSION TO ANALYZE HYDROCARBON RESERVOIR DISTRIBUTION IN ̉̉MARPAUNG̉̉ FIELD
Seismic Inversion Method is known as a strong method for reservoir characterization. In Seismic <br /> <br /> <br /> Inversion, it’s possible to describe physical property for each layer. Inversion seismic is <br /> <br /> <br /> considered better than conv...
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id-itb.:210712017-10-09T10:31:16ZAPPLICATION OF EXTENDED ELASTIC IMPEDANCE INVERSION TO ANALYZE HYDROCARBON RESERVOIR DISTRIBUTION IN ÃâÃâMARPAUNGÃâÃâ FIELD BOAS MANOGI SINAGA (NIM: 12313055), ANDRIANUS Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/21071 Seismic Inversion Method is known as a strong method for reservoir characterization. In Seismic <br /> <br /> <br /> Inversion, it’s possible to describe physical property for each layer. Inversion seismic is <br /> <br /> <br /> considered better than conventional seismic methods due to the limitations of conventional <br /> <br /> <br /> seismic that only describe the contrast at the limits of the layer. However, inversion results need <br /> <br /> <br /> to be verified by the appearance of log data and seismic data that can be observed directly. <br /> <br /> <br /> The elastic parameters of Young Rho Modulus is the most sensitive elastic parameters for <br /> <br /> <br /> separating sandstone lithology from shale on this field due to its sensitivity to brittleness index <br /> <br /> <br /> of rock. High numbers of (E-Rho) represent sand stone lithology. This elastic parameter can be <br /> <br /> <br /> estimated with EEI ( 730 ). Elastic parameter of Lambda Rho Poisson’s Ratio (LR*PR) is the <br /> <br /> <br /> most sensitive elastic parameters for characterization of reservoar fluids. Low number of LR*PR <br /> <br /> <br /> represent the presence of hydrocarbon especially gas content. LR*PR parameter can be <br /> <br /> <br /> estimated with EEI ( 360 ). <br /> <br /> <br /> Using Extended Elastic Impedance aplication, it’s possible to estimate the reflectivity of almost <br /> <br /> <br /> all form of elastic parameter by combine both of Vp, Vs, and density information from the <br /> <br /> <br /> seismic prestack data and log data.Later, the reflectivity can be inverted with post stack <br /> <br /> <br /> inversion workflow. text |
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Seismic Inversion Method is known as a strong method for reservoir characterization. In Seismic <br />
<br />
<br />
Inversion, it’s possible to describe physical property for each layer. Inversion seismic is <br />
<br />
<br />
considered better than conventional seismic methods due to the limitations of conventional <br />
<br />
<br />
seismic that only describe the contrast at the limits of the layer. However, inversion results need <br />
<br />
<br />
to be verified by the appearance of log data and seismic data that can be observed directly. <br />
<br />
<br />
The elastic parameters of Young Rho Modulus is the most sensitive elastic parameters for <br />
<br />
<br />
separating sandstone lithology from shale on this field due to its sensitivity to brittleness index <br />
<br />
<br />
of rock. High numbers of (E-Rho) represent sand stone lithology. This elastic parameter can be <br />
<br />
<br />
estimated with EEI ( 730 ). Elastic parameter of Lambda Rho Poisson’s Ratio (LR*PR) is the <br />
<br />
<br />
most sensitive elastic parameters for characterization of reservoar fluids. Low number of LR*PR <br />
<br />
<br />
represent the presence of hydrocarbon especially gas content. LR*PR parameter can be <br />
<br />
<br />
estimated with EEI ( 360 ). <br />
<br />
<br />
Using Extended Elastic Impedance aplication, it’s possible to estimate the reflectivity of almost <br />
<br />
<br />
all form of elastic parameter by combine both of Vp, Vs, and density information from the <br />
<br />
<br />
seismic prestack data and log data.Later, the reflectivity can be inverted with post stack <br />
<br />
<br />
inversion workflow. |
format |
Final Project |
author |
BOAS MANOGI SINAGA (NIM: 12313055), ANDRIANUS |
spellingShingle |
BOAS MANOGI SINAGA (NIM: 12313055), ANDRIANUS APPLICATION OF EXTENDED ELASTIC IMPEDANCE INVERSION TO ANALYZE HYDROCARBON RESERVOIR DISTRIBUTION IN ̉̉MARPAUNG̉̉ FIELD |
author_facet |
BOAS MANOGI SINAGA (NIM: 12313055), ANDRIANUS |
author_sort |
BOAS MANOGI SINAGA (NIM: 12313055), ANDRIANUS |
title |
APPLICATION OF EXTENDED ELASTIC IMPEDANCE INVERSION TO ANALYZE HYDROCARBON RESERVOIR DISTRIBUTION IN ̉̉MARPAUNG̉̉ FIELD |
title_short |
APPLICATION OF EXTENDED ELASTIC IMPEDANCE INVERSION TO ANALYZE HYDROCARBON RESERVOIR DISTRIBUTION IN ̉̉MARPAUNG̉̉ FIELD |
title_full |
APPLICATION OF EXTENDED ELASTIC IMPEDANCE INVERSION TO ANALYZE HYDROCARBON RESERVOIR DISTRIBUTION IN ̉̉MARPAUNG̉̉ FIELD |
title_fullStr |
APPLICATION OF EXTENDED ELASTIC IMPEDANCE INVERSION TO ANALYZE HYDROCARBON RESERVOIR DISTRIBUTION IN ̉̉MARPAUNG̉̉ FIELD |
title_full_unstemmed |
APPLICATION OF EXTENDED ELASTIC IMPEDANCE INVERSION TO ANALYZE HYDROCARBON RESERVOIR DISTRIBUTION IN ̉̉MARPAUNG̉̉ FIELD |
title_sort |
application of extended elastic impedance inversion to analyze hydrocarbon reservoir distribution in ãâãâmarpaungãâãâ field |
url |
https://digilib.itb.ac.id/gdl/view/21071 |
_version_ |
1821120351431557120 |