Application of Multi-Attribute Crossplots to Tight Gas in X Area, Western China
- 1 School of Geophysics and Information Technology, China University of Geosciences, Beijing, China
- 2 School of Geophysics and Information Technology, China University of Geosciences, Beijing, China
- 3 School of Geophysics and Information Technology, China University of Geosciences, Beijing, China
- 4 School of Geophysics and Information Technology, China University of Geosciences, Beijing, China
- 5 School of Geophysics and Information Technology, China University of Geosciences, Beijing, China
Abstract
The gas-bearing reservoir in X area is mainly the tight sandstone reservoir characterized by low porosity and permeability, frequently lateral variation and poor connectivity of single sand. The previous research results reveal that the general seismic attributes analysis cannot meet the requirement of fluid identification. This is because the relationship between seismic attributes and their implication is uncertain and ambiguous, which decreases the precision of both reservoir prediction and fluid identification. To overcome the problem, multi-attribute crossplot technology is proposed from the mathematical statistical point of view rather than the correspondence between the seismic attributes and their geological implication. In this method, the wells which have the same statistical law are classified firstly, and then all the interest wells are retained while the wells beyond the statistical law are eliminated, and the seismic attributes sensitive to the same types of eliminated wells are optimized and used to generate crossplots. The nonzero area of their crossplots results just predicts the potential distribution. The discontinuity of subsurface geological conditions results in the non-continuous shape and the seismic bin lead to the mosaic form. The optimization of sensitive attributes relative to the same types of wells is independent from each other, and thus the order of attributes in crossplots does not affect the final prediction results. This method is based on the statistical theory and suitable for the areas such as the study area abundant of lots of well data. Application to X area proves the effectiveness of this method and predicts plane distribution about different types of gas production. Due to the effect of faults and other geological factors, the partition prediction results using multi-attribute crossplots reach 95% of coincidence which is obviously and far higher than the results of the whole area. The final prediction results show that the potential areas with medium and high gas production are mainly concentrated in the northern part of the study area, where lots of development research will be strengthened.
- Michelena, R.J., Godbey, K.S.G. and Rodrigues, P.E. (2011) Facies Probabilities from Multidimensional Crossplots of Seismic Attributes: Application to Tight Gas Mann Creek Field, Piceance Basin, Colorado. The Leading Edge, 30, 62-69. http://dx.doi.org/10.1190/1.3535434
- Wang, C., Lu, Y.C. and Huang, H.G. (2015) New Seismic Attribute Technology for Predicting Dissolved Pore-Fracture of Deeply Buried Platform Margin Reef-Beach System in Northeast Sichuan Basin. Journal of Earth Science, 26, 373-383. http://dx.doi.org/10.1007/s12583-015-0540-0
- Gao, W.B. (2012) Applied Research of Reservoir Prediction in the Area of Hongtai. Master Thesis, Yangtze University, Wuhan.
- Alridha, N.A. and Muhsin, S.U. (2015) 3-D Seismic Attributes Analysis in Balad Oil Field—Center of Iraq. Arab Journal of Geosciences, 8, 2785-2798. http://dx.doi.org/10.1007/s12517-014-1389-8
- Miller, P., Dasgupta, S. and Shelander, D. (2012) Seismic Imaging of Migration Pathways by Advanced Attribute Analysis, Alaminos Canyon 21, Gulf of Mexico. Marine and Petroleum Geology, 34, 111-118. http://dx.doi.org/10.1016/j.marpetgeo.2011.09.005
- Chopra, S. and Marfurt, K.J. (2009) Detecting Stratigraphic Features via Crosslotting of Seismic Discontinuity Attributes and Their Volume Visualization. The Leading Edge, 28, 1422-1426. http://dx.doi.org/10.1190/1.3272695
- Chen, X.G., Xie, R.J. and Zhang, X. (2012) Fine Strata Classification and Correlation for Sanjianfang Formation (2s) in Hongtai Oil and Gas Field. Tuha Oil and Gas, 17, 25-27. (In Chinese)
- Li, W. (2011) The Research of Geologic Modeling of Gas Reservoirs in Hongtai 2 Block. Sino-global Energy, 16, 51- 53. (In Chinese)
- Bi, J.F., Liu, J.H. and Yang, Y. (2010) Depositional System of Braided River Delta in Hongtai Area of Tuha Basin. Fault-block Oil and Gas Field, 17, 702-705. (In Chinese)
- Ma, C., Xie, R.J. and Cai, Z.T. (2012) 3D Geological Modeling of the Gas Reservoir in Sanjianfang Formation of Hongtai Gas Field. Computer Applications of Petroleum, 49-51. (In Chinese)