Methodology and application of seismic prediction of gas‐bearing volcanic reservoir

Abstract

We introduce the methodology to image and characterize volcanic reservoirs and illustrate its application with the aid of a case study in XJWZ fault depression of the northern Songliao basin, China. Instantaneous spectral analysis and model based impedance inversion technique are used to characterize the volcanic reservoir geometry, distribution, internal structure and reservoir properties. Based on forward modeling by using geologic and log data, extracted frequency dependent energy cubes provide an efficient tool to delineate distributions of reservoirs and fault systems. The inverted impedance can characterize the reservoir distribution and internal structure of reservoir intervals. To investigate the reservoir properties, the attenuation analysis allows observing spectral anomalous variations, representing an alternative tool to characterize reservoir properties and to detect gas‐bearing volcanic reservoirs. Our results show that attenuation anomalies integrated with the production data can guide our predictions of reservoir producibility. The reservoir properties are controlled by the lithology and structure characteristics. The successful drilling from the designed new well proves the efficiency of the methodology and applied technologies.