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Results of using different petrophysical approach in controlling fault seal analysis in rengasdengklok area, northwest Java basin, Indonesia
Sapiie B.a, Gunawan I.a, Edward E.b, Wibowo R.A.b, Putra P.R.c
a Institute of Technology Bandung, Indonesia
b Pertamina EP, Indonesia
c Petramina EP, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]The standard fault seal analysis using SGR algorithm is relying on two important parameters mainly fault throw and v-shale values. Both parameters are determined from interpretation of seismic and well data through petrophysical analysis. However, v-shale values are highly influenced by clay mineral composition particularly area with complex mineralogy such back-arc basin environment. This paper is presented interesting results of fault seal analysis using multimineral petrophysical approach to get better proportion of clay contents, which in turn gives better results in term of distributions of sealing capacity. Fault seal analysis was conducted using 3D seismic and 95 wells. Clay volume determination is using three types of methods, which are single parameter method using gamma ray log, dual parameter with gamma ray and bulk density-neutron porosity logs, and multimineral model. The calculation of fault attributes based on 3d grid geological models. Throw used in the calculation of SGR. Generally, the SGR value using clay volume from multimineral analysis are less than SGR value by using other clay volume. The result of this study shows that most of the faults are tend to have sealing and leaking potential in specific zones where clay volume model controls the SGR value instead of throw.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Back-arc basin,Clay mineral compositions,Geological models,Neutron porosity logs,Petrophysical analysis,Single parameter,Volume determination,Volume modeling[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.3997/2214-4609.201413274[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]