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STUDY ON VOLCANIC RESERVOIR MODELING

Chang Li

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Abstract

Volcanic reservoir modeling is still a challenge task in reservoir geology. But a number of oil and gas pools have been found in the volcanic rock home and abroad for last few years. In order to study the spatial features of the volcanic reservoirs, Yingcheng Formation, located in Xujiaweizi region of Songliao Basin, has been selected as target zone. Based on the analysis of volcanic eruption facies, many parameters for modeling were chosen and calculated by using facies controlled Neural Network technique, and finally a volcanic reservoir model was built in this region. It shows that the petrophysical features of layer, multi facies and crack volcanic mechanisms are better than block, mono facies and non crack ones respectively. The base surge flows facies, pyroclastic fallout facies and eruption sedimentary facies are the promising zones for oil and gas exploration.

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What this paper is about

Volcanic reservoir modeling is still a challenge task in reservoir geology. But a number of oil and gas pools have been found in the volcanic rock home and abroad for last few years. In order to study the spatial features of the volcanic reservoirs, Yingcheng Formation, located in Xujiaweizi region of Songliao Basin, has been selected as target zone. Based on the analysis of volcanic eruption facies, many parameters for modeling were chosen and calculated by using facies controlled Neural Network technique, and finally a volcanic reservoir model was built in this region. It shows that the petrophysical features of layer, multi facies and crack volcanic mechanisms are better than block, mono facies and non crack ones respectively. The base surge flows facies, pyroclastic fallout facies and eruption sedimentary facies are the promising zones for oil and gas exploration.

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Available abstract

Volcanic reservoir modeling is still a challenge task in reservoir geology. But a number of oil and gas pools have been found in the volcanic rock home and abroad for last few years. In order to study the spatial features of the volcanic reservoirs, Yingcheng Formation, located in Xujiaweizi region of Songliao Basin, has been selected as target zone. Based on the analysis of volcanic eruption facies, many parameters for modeling were chosen and calculated by using facies controlled Neural Network technique, and finally a volcanic reservoir model was built in this region. It shows that the petrophysical features of layer, multi facies and crack volcanic mechanisms are better than block, mono facies and non crack ones respectively. The base surge flows facies, pyroclastic fallout facies and eruption sedimentary facies are the promising zones for oil and gas exploration.

Key concepts: Facies, Geology, Volcano, Pyroclastic rock, Petrology, Volcanic rock, Structural basin, Petrophysics

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