2017
DOI: 10.1088/1755-1315/62/1/012018
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Shale Hydrocarbon Potential of Brown Shale, Central Sumatera Basin Based on Seismic and Well Data Analysis

Abstract: Abstract. The development of unconventional shale hydrocarbon is really depending on integrating approach of wide range disciplines. The integrated approach for analysing organicrich shale reservoirs involves calibration of core and well-log data, building petrophysical and rock-physics models, and finally characterizing the key reservoir parameters (TOC, porosity, and natural fractures) and mechanical properties evaluation from seismic data. In this research, integrated approach of geochemical, geomechanical,… Show more

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Cited by 12 publications
(8 citation statements)
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“…This maturity level is classified as the early mature phase. van Krevelen diagram and (b) the relationship between HI and Tmax [13].…”
Section: Geochemical Assessmentmentioning
confidence: 99%
See 1 more Smart Citation
“…This maturity level is classified as the early mature phase. van Krevelen diagram and (b) the relationship between HI and Tmax [13].…”
Section: Geochemical Assessmentmentioning
confidence: 99%
“…Shale Gas -New Aspects and Technologies between organic richness and available log data for Pematang Brown Shale formation of Central Sumatra basin is presented in Eq. 6 [13].…”
Section: Predicting Total Organic Content Using Multilinear Regressionmentioning
confidence: 99%
“…The electro log data consists of gamma ray, resistivity, neutrons, density and sonic. This estimated TOC, which is useful to patch the lack of data as function depth, is calculated by applying Multi-linear Regression [3]. The equation 1 is derived an equation from Multi-linear Regression as the function of Gamma Ray (GR), Density (RHOB), Neutron Porosity (NPHI), P-wave velocity (DT):…”
Section: Geochemical and Seismic Attributes Approachmentioning
confidence: 99%
“…Since the limitation of sample number, therefore we only have a few TOC data, which is not cover for the whole depth. In order to patch the lack of this data, we need to estimate the TOC information as function depth by applying Multilinear Regression [3,4].…”
Section: Shale Hydrocarbon Characterizationmentioning
confidence: 99%