Total organic carbon quantitative prediction using seismic information

被引：0

作者：

Chen Y. ^{[1
,2
]}

Yao G. ^{[2
]}

Liu Z. ^{[3
]}

Lü F. ^{[2
]}

Tang P. ^{[2
]}

Chen L. ^{[4
]}

Zhao Q. ^{[3
]}

机构：

[1] Research Institute of Petroleum Exploration and Development, CNPC, Beijing

[2] PetroChina Hangzhou Institute of Geology, Hangzhou

[3] College of Geoscience, China University of Petroleum, Beijing

[4] China National Offshore Oil Corporation Research Institute, Beijing

来源：

Chen, Yuhang (c1988yh@163.com) | 1600年 / Central South University of Technology卷 / 47期

关键词：

Color inversion; Low exploration areas; Total organic carbon; ΔlgR method;

D O I：

10.11817/j.issn.1672-7207.2016.01.023

中图分类号：

学科分类号：

摘要：

Considering that source rock evaluation is an important step of the whole process of oil and gas exploration in low exploration areas (deep water, deep layer), where the mass fraction of total organic carbon (TOC) of source rocks determines the resource potential and oil and gas reserves, based on the combination of seismic data and a few of drilling data, the mass fraction of TOC could be quantitatively predicted by seismic velocity inversion. The mudstone resistivity prediction model was established by velocity based on the FAUST equation-transformation. Furthermore, less well constrained seismic prediction model of mass fraction of TOC was built in combination with ΔlgR method. The mass fraction of TOC of C Sag of Y1 Member in the north of South China Sea was predicted by using this model. The results show that the mass fraction of TOC of the delta and coastal plain facies on the edge of the Sag is higher than that of shore-neritic facies in the sag center. The results are consistent with those of sedimentary facies, which verifies the reliability of this method. © 2016, Central South University of Technology. All right reserved.

引用

页码：159 / 165

页数：6

共 16 条

[1] Zhang H., Zhu G., Using seismic and log information to predict and evaluate hydrocarbon source rocks: An example from rich oil depressions in Bohai Bay, Petroleum Exploration and Development, 34, 1, pp. 55-59, (2007)
[2] Cao Q., Ye J., Shi W., Et al., Preliminary prediction and evaluation of source rocks in low-exploration basins: A case study on the northeast sag of the Northern South Sea Basin in China, Acta Petrolei Sinica, 30, 4, pp. 522-529, (2009)
[3] Liu Z., Chang M., Zhao Y., Et al., Method of early prediction on source rocks in basins with low exploration activity, Earth Science Frontiers, 14, 4, pp. 159-167, (2007)
[4] Gu L., Xu S., Su J., Et al., Muddy hydrocarbon source rock prediction and evaluation with seismic data, Natural Gas Geoscience, 22, 3, pp. 554-560, (2011)
[5] Cao Q., Ye J., Shi W., Application of the method of seismic attribution to prediction of source rock thickness in the new exploration of north detpression in South Yellow Sea Basin, Marine Geology and Quaternary Geology, 20, 5, pp. 109-114, (2008)
[6] Liu J., Wang R., Shu Y., Et al., Geophysical quantitative prediction technology about the total organic carbon in the source rock and application in Pearl River Mouth Basin, China, Journal of Chengdu University of Technology (Science & Technology Edition), 9, 4, pp. 415-419, (2012)
[7] Faust L.Y., Seismic velocity as a function of depth and geologic time, Geophysics, 16, 2, pp. 192-206, (1951)
[8] Chen G., Wang Y., Application of FAUST equation in rebuilding of acoustic curve, Progress in Exploration Geophysics, 28, 2, pp. 125-128, (2005)
[9] Gao G., Wang X., Liu G., Et al., Prediction method and of organic carbon abundance of dark color mudstones in the triassic system of junggar basin, Geological Journal of China Universities, 18, 4, pp. 745-750, (2012)
[10] Passey Q.R., Creaney S., Kulla J.B., A practical model for organic richness from porosity and resistivity logs, AAPG Bulletin, 74, 5, pp. 1777-1794, (1990)

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