Comparison of Oil Well Productivity Evaluation Methods Based on Different Data

Qin ZHU, Dong LIU, Dayong CHENG, Xinran WANG, Xiaolin ZHU

Abstract


Accurate prediction of well productivity is important to take proper engineering measures, and it has an important value on the increased cost of oil and gas exploration and development. Variety of different reservoir evaluation methods for well productivity based on different data, such as seismic data, mud logging data, well logging data, well testing data, formation test data etc. was compared in this paper, and the scale, scope and implications of the methods evaluation were also described. This provides a theoretical basis for comprehensive reservoir productivity assessment research, and can be a guidance for comprehensive evaluation of reservoir productivity based on variety of test data.


Keywords


Productivity assessment; Seismic productivity; Logging productivity; Well test productivity; Cable test productivity

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References


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DOI: http://dx.doi.org/10.3968/10608

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Copyright (c) 2018 Qin Zhu, Liu Dong, Dayong Cheng, Xinran Wang, Xiaolin Zhu

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