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Journal : Journal of Geoscience, Engineering, Environment, and Technology

Total Organic Carbon (TOC) Value Prediction in Source Rock Potential at North East Java Basin, Indonesia Paulus Leonardo Manurung; Rahmat Catur Wibowo; Ordas Dewanto
Journal of Geoscience, Engineering, Environment, and Technology Vol. 6 No. 3 (2021): JGEET Vol 06 No 03 : September (2021)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2021.6.3.6644

Abstract

This research aims to determine the potential of the source rock in the Kujung and Cepu Formations in the North East Java Basin, using Total Organic Carbon (TOC). TOC is calculated using the Passey method. The Passey method is used by overlaying the sonic log and the resistivity log and determining the baseline to get the separation of Δlog resistivity, which is then used to predict the TOC log by including the LOM (Level of Organic Maturity) variable obtained from the data of vitrinite reflectance. After the TOC log value is obtained, a correlation is made with the TOC core value. The prediction result of TOC log in a PM-1 well is 2.16%, which means it has excellent quality. The prediction of TOC log in a PM-2 well is worth 2.68%, which means it has excellent quality. The correlation value between the TOC log and the TOC core of the PM-1 well is 0.67, which means the correlation is strong. In PM-2 well, the correlation between the TOC log and TOC core is 0.92, which means that the correlation is robust.
Multiple Linear Regression Method for Thermal Maturity Prediction Based On Well Logs Wibowo, Rahmat Catur; Sarkowi, Muh; Dewanto, Ordas; Mulyatno, Bagus S; Dani, Ilham
Journal of Geoscience, Engineering, Environment, and Technology Vol. 9 No. 2 (2024): JGEET Vol 09 No 02 : June (2024)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2024.9.2.10270

Abstract

Accurate estimation of thermal maturity is essential in characterizing a source rock, especially using vitrinite reflectance (Ro). The limitations of laboratory data related to the high cost of analysis require a special reliable method to measure the Ro value indirectly in the source rock layer. The proposed method is a continuous prediction of the value of Ro from well logs data using the Multiple Linear Regression (MLR) technique in the Palembang Sub-Basin, South Sumatra Basin. A total of 25 Ro data from 2 wells (RCW-01 and RCW-02) are available from the laboratory's core data analysis results. The Ro data varies from 0.39% to 0.76%, with an average of 0.54%. Prediction of the value of Ro is carried out using the MLR method, which is then carried out training and validation for continuous Ro. The training was carried out using one well (RCW-01) at 2287-3027 m and testing at other intervals (1848-2286 m). The results of the training show an estimation accuracy of R2 0.99, while the test results produce R2 0.81. The MLR formula in the RCW-01 well was then applied to the RCW-02 well for the validation test phase. The well RCW-02 produces a good correlation estimate equal to R2 0.85. Prediction of the value of Ro using the MLR method can be used to evaluate the source rock layer of a sedimentary basin in the form of a continuous interval.