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14C-AMS TECHNOLOGY AND ITS APPLICATIONS TO AN OIL FIELD TRACER EXPERIMENT

Published online by Cambridge University Press:  11 May 2022

Hongtao Shen Open the ORCID record for Hongtao Shen [Opens in a new window] ,
Shulin Shi ,
Junsen Tang ,
Mingli Qi ,
Siyu Wei ,
Kimikazu Sasa ,
Mingji Liu ,
Li Wang ,
Guofeng Zhang  and
Linjie Qi
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Hongtao Shen*
Affiliation:
Guangxi Normal University, College of Physics and Technology, Guangxi Normal University, Guilin541004, China Guangxi Key Laboratory of Nuclear Physics and Technology, Guilin541004, China
Shulin Shi
Affiliation:
Guangxi Normal University, College of Physics and Technology, Guangxi Normal University, Guilin541004, China
Junsen Tang*
Affiliation:
Guangxi Normal University, College of Physics and Technology, Guangxi Normal University, Guilin541004, China
Mingli Qi
Affiliation:
Guangxi Normal University, College of Physics and Technology, Guangxi Normal University, Guilin541004, China
Siyu Wei
Affiliation:
Guangxi Normal University, College of Physics and Technology, Guangxi Normal University, Guilin541004, China
Kimikazu Sasa
Affiliation:
University of Tsukuba, Tsukuba, Ibaraki305-8577, Japan
Mingji Liu
Affiliation:
Guangxi Normal University, College of Physics and Technology, Guangxi Normal University, Guilin541004, China
Li Wang
Affiliation:
Guangxi Normal University, College of Physics and Technology, Guangxi Normal University, Guilin541004, China
Guofeng Zhang
Affiliation:
Guangxi Normal University, College of Physics and Technology, Guangxi Normal University, Guilin541004, China
Linjie Qi
Affiliation:
Guangxi Normal University, College of Physics and Technology, Guangxi Normal University, Guilin541004, China
Dingxiong Chen
Affiliation:
Guangxi Normal University, College of Physics and Technology, Guangxi Normal University, Guilin541004, China
Shanhua Gong
Affiliation:
Research Institute of Production Engineering and Technology, Zhongyuan Oilfield Company, SINOPEC, Puyang457001, China
Guofu Song
Affiliation:
Research Institute of Production Engineering and Technology, Zhongyuan Oilfield Company, SINOPEC, Puyang457001, China
Junyan Dong
Affiliation:
Research Institute of Production Engineering and Technology, Zhongyuan Oilfield Company, SINOPEC, Puyang457001, China
Ning Wang
Affiliation:
Guangxi Normal University, College of Physics and Technology, Guangxi Normal University, Guilin541004, China Guangxi Key Laboratory of Nuclear Physics and Technology, Guilin541004, China
Houbing Zhou
Affiliation:
Guangxi Normal University, College of Physics and Technology, Guangxi Normal University, Guilin541004, China Guangxi Key Laboratory of Nuclear Physics and Technology, Guilin541004, China
Ming He
Affiliation:
China Institute of Atomic Energy, Beijing102413, China
Qingzhang Zhao
Affiliation:
China Institute of Atomic Energy, Beijing102413, China
Mingjun Wei
Affiliation:
Research Institute of Production Engineering and Technology, Zhongyuan Oilfield Company, SINOPEC, Puyang457001, China
Yun He*
Affiliation:
Guangxi Normal University, College of Physics and Technology, Guangxi Normal University, Guilin541004, China Guangxi Key Laboratory of Nuclear Physics and Technology, Guilin541004, China
*
*Corresponding authors. Emails: [email protected]; [email protected]; [email protected].
*Corresponding authors. Emails: [email protected]; [email protected]; [email protected].
*Corresponding authors. Emails: [email protected]; [email protected]; [email protected].
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Abstract

Many waterflooding oil fields, injecting water into an oil-bearing reservoir for pressure maintenance, are in their middle to late stages of development. To explore the geological conditions and improve oilfield recovery of the most important well group of the Hu 136 block, located on the border areas of three provinces (Henan, Shandong, and Hebei), Zhongyuan Oilfield, Sinopec, central China, a 14C cross-well tracer monitoring technology was developed and applied in monitoring the development status and recognize the heterogeneity of oil reservoirs. The tracer response in the production well was tracked, and the water drive speed, swept volume of the injection fluid were obtained. Finally, the reservoir heterogeneity characteristics, such as the dilution coefficient, porosity, permeability, and average pore-throat radius, were fitted according to the mathematical model of the heterogeneous multi-layer inter-well theory. The 14C-AMS technique developed in this work is expected to be a potential analytical method for evaluating underground reservoir characteristics and providing crucial scientific guidance for the mid to late oil field recovery process.

Keywords

AMS14Coil fieldtracerwater sample preparation
Type
Research Article
Information
Radiocarbon , Volume 64 , Issue 5 , October 2022 , pp. 1159 - 1169
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Copyright
© The Author(s), 2022. Published by Cambridge University Press for the Arizona Board of Regents on behalf of the University of Arizona

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Footnotes

†

These authors contributed equally to this work.

References

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