Wenhua Xu1,3, Yuming Zhu2, Yingrong Wei2, Ya Su2, Yan Xu1,3, Hui Ji1, Dehua Liu1,3,*
Energy Engineering, Vol.120, No.7, pp. 1701-1715, 2023, DOI:10.32604/ee.2023.027703
- 04 May 2023
Abstract Drilling costs of ultra-deep well is the significant part of development investment, and accurate prediction of drilling
costs plays an important role in reasonable budgeting and overall control of development cost. In order to improve
the prediction accuracy of ultra-deep well drilling costs, the item and the dominant factors of drilling costs in Tarim
oilfield are analyzed. Then, those factors of drilling costs are separated into categorical variables and numerous
variables. Finally, a BP neural network model with drilling costs as the output is established, and hyper-parameters
(initial weights and bias) of the BP neural More >
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