2013Lithologic ReservoirsRequires access

Evaluation of glutenite heavy oil reservoir based on multi-mineral log interpretation method

Jian Chen

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Abstract

The log interpretation for glutenite heavy oil reservoir is difficult because of its complexity of porosity and permeability and its special fluid property. Multi-mineral log interpretation method can effectively utilize all kinds of logging information to get reservoir parameters accurately. The reservoir JMSR area is mainly of glutenite with complex mineral composition. By using multi-mineral model optimization method, we obtained the porosity and mineral composition content and computed the permeability with Scheidger formula, and the results are in accord with the actual core data. The multi-mineral log interpretation method can be used to recognize heavy oil reservoirs by computing mud invade depth, can increase interpretation coincidence rate and provide dependable data for exploitation in JMSR area.

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What this paper is about

The log interpretation for glutenite heavy oil reservoir is difficult because of its complexity of porosity and permeability and its special fluid property. Multi-mineral log interpretation method can effectively utilize all kinds of logging information to get reservoir parameters accurately. The reservoir JMSR area is mainly of glutenite with complex mineral composition. By using multi-mineral model optimization method, we obtained the porosity and mineral composition content and computed the permeability with Scheidger formula, and the results are in accord with the actual core data. The multi-mineral log interpretation method can be used to recognize heavy oil reservoirs by computing mud invade depth, can increase interpretation coincidence rate and provide dependable data for exploitation in JMSR area.

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Available abstract

The log interpretation for glutenite heavy oil reservoir is difficult because of its complexity of porosity and permeability and its special fluid property. Multi-mineral log interpretation method can effectively utilize all kinds of logging information to get reservoir parameters accurately. The reservoir JMSR area is mainly of glutenite with complex mineral composition. By using multi-mineral model optimization method, we obtained the porosity and mineral composition content and computed the permeability with Scheidger formula, and the results are in accord with the actual core data. The multi-mineral log interpretation method can be used to recognize heavy oil reservoirs by computing mud invade depth, can increase interpretation coincidence rate and provide dependable data for exploitation in JMSR area.

Key concepts: Geology, Porosity, Permeability (electromagnetism), Mineral resource classification, Heavy mineral, Petroleum engineering, Interpretation (philosophy), Mineralogy

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