An Application of Resistivity Imaging Logging Data in Lithologic Identification of Glutenite Reservoir
Zhang Hong-jiang
Abstract
Zhang Hong-jiang
Abstract
Deep glutenite segment in Xujiaweizi fault depression is very important subject reservoir in this zone.Owing to heterogeneous reservoir,complex reservoir lithology and bad regularity of conventional logging response curve,it is difficult to identified reservoir lithology accurately.The data of formation micro-resistivity imaging log was based,sufficiently combined the information of core and thin layers,FMI image which corresponded to classic rock of glutenite body in region of interest was taken as a template,the relevant feature of FMI image was summarized,the identification models of different lithology in FMI image were established,which were used to qualitative-analysis and guide else hole section to proceed lithologic identification.In practical application,the FMI image identification models of different glutenite are applied to identify the lithology of several wells'intended interval in region of interest,the coincidence rate between the result of identification and denominate data of core wafer reaches 82.4%.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Deep glutenite segment in Xujiaweizi fault depression is very important subject reservoir in this zone.Owing to heterogeneous reservoir,complex reservoir lithology and bad regularity of conventional logging response curve,it is difficult to identified reservoir lithology accurately.The data of formation micro-resistivity imaging log was based,sufficiently combined the information of core and thin layers,FMI image which corresponded to classic rock of glutenite body in region of interest was taken as a template,the relevant feature of FMI image was summarized,the identification models of different lithology in FMI image were established,which were used to qualitative-analysis and guide else hole section to proceed lithologic identification.In practical application,the FMI image identification models of different glutenite are applied to identify the lithology of several wells'intended interval in region of interest,the coincidence rate between the result of identification and denominate data of core wafer reaches 82.4%.
Key concepts: Lithology, Geology, Petrology, Identification (biology), Fault (geology), Well logging, Mineralogy, Petroleum engineering