2012Well Logging TechnologyRequires access

Reservoir Features and Logging Productivity Evaluation of Chang6Reservoir in Huanjiang Oilfield

Xiqiang Wang

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Abstract

Because of the low porosity and special-low,ultra-low permeability of chang6 reservoir in Huanjiang oilfield,we fully use the logging information to analyze the reservoir logging response characteristics.The main factors which affect reservoir productivity are effective thickness of reservoir,oil saturation,porosity and permeability.Combining with oil test,logging data,reservoir electrical characteristics and logging data processing results,we obtained the identification criterion of different oil and water layers with different productivity in Chang6 reservoir in Huanjiang oilfield.Established are relationship plates between the productivity factors and oil test output per day of developed well.We classify the reservoir level by oil production per meter daily and establish quantitative evaluation model with higher accuracy of reservoir production capacity.The above criterion is successfully used in qualitative identification and quantitative forecast of chang6 reservoir productivity in Huanjiang oilfield.The well test productivity is obtained by the logging means so to correctly choose favorabl test layer and guide the exploration and development of oilfield.

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What this paper is about

Because of the low porosity and special-low,ultra-low permeability of chang6 reservoir in Huanjiang oilfield,we fully use the logging information to analyze the reservoir logging response characteristics.The main factors which affect reservoir productivity are effective thickness of reservoir,oil saturation,porosity and permeability.Combining with oil test,logging data,reservoir electrical characteristics and logging data processing results,we obtained the identification criterion of different oil and water layers with different productivity in Chang6 reservoir in Huanjiang oilfield.Established are relationship plates between the productivity factors and oil test output per day of developed well.We classify the reservoir level by oil production per meter daily and establish quantitative evaluation model with higher accuracy of reservoir production capacity.The above criterion is successfully used in qualitative identification and quantitative forecast of chang6 reservoir productivity in Huanjiang oilfield.The well test productivity is obtained by the logging means so to correctly choose favorabl test layer and guide the exploration and development of oilfield.

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Available abstract

Because of the low porosity and special-low,ultra-low permeability of chang6 reservoir in Huanjiang oilfield,we fully use the logging information to analyze the reservoir logging response characteristics.The main factors which affect reservoir productivity are effective thickness of reservoir,oil saturation,porosity and permeability.Combining with oil test,logging data,reservoir electrical characteristics and logging data processing results,we obtained the identification criterion of different oil and water layers with different productivity in Chang6 reservoir in Huanjiang oilfield.Established are relationship plates between the productivity factors and oil test output per day of developed well.We classify the reservoir level by oil production per meter daily and establish quantitative evaluation model with higher accuracy of reservoir production capacity.The above criterion is successfully used in qualitative identification and quantitative forecast of chang6 reservoir productivity in Huanjiang oilfield.The well test productivity is obtained by the logging means so to correctly choose favorabl test layer and guide the exploration and development of oilfield.

Key concepts: Petroleum engineering, Logging, Productivity, Permeability (electromagnetism), Well logging, Reservoir modeling, Porosity, Engineering

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