(2001), Acoustic Impedance as a Tool to Identify Reservoir Targets: A Case Study of the Cempaka-11 Horizontal Well, Jabung Block, South Sumatra, Proceedings 28th Annual Convention and Exhibition, Indonesian Petroleum Association Oktober 2001. Saifuddin, F., Soeryowibowo, M., Suta, I. Part 7, Seismic stratigraphic interpretation procedure, AAPG Memoir 26, p. Vail (1977), Seismic stratigraphy and global changes of sea level. (1992), Facies Models Response to Sea Level Change, Geological Association. Serra, Oberto (1984), Fundamental of Well-Log interpretation, Elsevier Science Publishing Company INC, New York. (2001), Use of Multiattribute transforms to predict log properties from seismic data, Geophysics, 66(1), P.220-236. (2007), Porosity and Lithologic Estimation Using Rock Physics and Multiattribute Transforms in Balcon Field, Colombia, The Leading Edge 26, p. Prayatna (1980), Geologi minyak dan gas bumi, Penerbit ITB, Bandung.Ĭalderon, J. (2001), Karakterisasi Reservoar Seismik, Departemen Teknik Geofisika ITB, Bandung. Related to the local unconformities of the Duang area, South Sumatra Basin, Proceedings Indonesian Petroleum Association Twentieth Annual Convention, October, 1991, p.

Hartanto, Karsan, Widianto, Eko, and Safrizal (1991), Hydrocarbon prospect (2001), South Sumatera Basin Province, Indonesia: The Lahat/Talang Akar cenozoic total petroleum system, USGS Open-file report, 99-50-S. The volume of porosity is determined from regression function crossplot between acoustic impedance inversion results with fixed porosity well logs.īishop, M.G. Sparse spike inversion results are then used as input to the module EMERGE on Hampson Russell Suite 9 software, to predict the distribution of porosity from seismic volume. Enables simple navigation and comparison of multiple attribute volumes with seismic gathers. High-grades pre-stack seismic data for inversions. Acoustic impedance models correlated with the lithological profiles of well log is used to predict the spread of reservoir lithology. Benefits of HampsonRussell AVO: Provides a single comprehensive module for data conditioning, attribute calculation and analysis. Sparse spike inversion result was selected to use in the next process as it has an acoustic impedance value that is more similar to the well log acoustic impedance value. Both of them have a high correlation coefficient and a low error rate. Two types of acoustic impedance inversion method is applied to the well log data and seismic, i.e maximum likelihood sparse spike and a model-based inversion. The integration of data is done by using acoustic impedance inversion analysis.

With the purpose to get a good interpretation of the subsurface in the process of hydrocarbon exploration. Integration of seismic data and well log is carried on the field X to identify the distribution of lithology and porosity in the reservoir target zone in this field.

Colored inversion hampson russell