| Title | Technical research on realizing remote intelligent diagnosis of petroleum drilling loss circulation under smart city strategy |
|---|---|
| ID_Doc | 39276 |
| Authors | Liang, HB; Chen, HF; Zou, JL; Bai, J |
| Title | Technical research on realizing remote intelligent diagnosis of petroleum drilling loss circulation under smart city strategy |
| Year | 2021 |
| Published | |
| Abstract | In recent years, smart energy has become an important part of smart city construction. For the oil industry, exploring how to apply enabling technologies such as data transmission, internet of things, big data analysis in the energy field can fill the gap of applying intelligent technologies to energy facilities system. For the petroleum field, one of the biggest threats to safe drilling operations during oil and gas exploration is loss circulation. In the study, based on a new assessment framework that integrates intelligent energy into smart cities, an improved fuzzy evaluation method of drilling risk based on cloud method is proposed to realize the transformation of drilling risk from quantitative to qualitative. The theory proposed in this paper considers the subjective engineering experience of experts and the information contained in objective data, which make the judgment results more objective. The cloud theory proposed can clearly show the result of risk assessment, which fully reflects the fuzziness and randomness of the drilling system. The model is embedded in the evaluation framework of smart cities, which realizes the online remote online assessment of risks by city office workers. (C) 2021 Elsevier B.V. All rights reserved. |
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