The Application of Geostatistical Seismic Inversion for Delineating Thin Reservoirs: A Case Study of the Jambi Sub-Basin

• Main Authors: Abdul Haris, Aditya Dwi Prasetio, Agus Riyanto, Sri Mardiyati
• Format: Article
• Language: English
• Published: Universitas Indonesia 2018-10-01
• Series: International Journal of Technology
• Subjects: Air Benakat Formation; Geostatistical seismic inversion; Jambi sub-basin; Thin reservoir
• Online Access: http://ijtech.eng.ui.ac.id/article/view/2088

Geostatistical seismic inversion has been successfully carried out to characterize a thin reservoir of the Air Benakat Formation in Indonesia’s Jambi sub-basin. The objective of this paper is to characterize detailed P-impedance of the thin reservoir in the Jambi sub-basin using geostatistical seismic inversion rather than deterministic seismic inversion. Geostatistical seismic inversion is believed to be able to enhance vertical resolution and accurately map sub-seismic features. This algorithm uses a geostatistical model, which is constrained by probability density function and a variogram as the input models. The method was applied to eight wells and three-dimensional seismic data that consist of 198 inline and 261 crossline. Prior to performing geostatistical seismic inversion, sensitivity analysis was carried out by cross-plotting petrophysical data to identify the petrophysical properties of the reservoir target. The geostatistical seismic inversion considered 50 realization models that were used as inputs in estimating the probability of the existing subsurface layer and the calculated P-impedance models to obtain the most probable P-impedance model that is useful for characterizing the detailed thin reservoir of the Air Benakat Formation in the Jambi sub-basin. The geostatistical seismic inversion results show a higher resolution of P-impedance compared to the deterministic seismic inversion and are able to resolve thin reservoirs below tuning thickness. In addition, this method is able to optimize better correlation between seismic and petrophysical properties of the thin reservoir with an average thickness below five metres, which is well modelled with reference to both seismic and well data.