Prediction of oil well production based on the time series model of optimized recursive neural network-Reference-Cited by-同舟云学术

Prediction of oil well production based on the time series model of optimized recursive neural network

Published:2021-04-28 Issue:9-10 Volume:39 Page:303-312
ISSN:1091-6466
Container-title:Petroleum Science and Technology
language:en
Short-container-title:Petroleum Science and Technology

Author:

Cheng Yuefei¹^ORCID,Yang Yang²

Affiliation:

1. School of Earth Science and Technology, Southwest Petroleum University, Chengdu, Sichuan, China

2. State Key Laboratory of Oil Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, Sichuan, China

Publisher

Informa UK Limited

Subject

Geotechnical Engineering and Engineering Geology,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/10916466.2021.1877303

Reference15 articles.

1. Asymptotic production behavior in waterflooded oil reservoirs: Decline curves on a simplified model

2. RETRACTED ARTICLE: Evolving artificial neural network and imperialist competitive algorithm for prediction permeability of the reservoir

3. Decline-Curve Analysis of Fractured Reservoirs With Fractal Geometry

4. An innovative neural forecast of cumulative oil production from a petroleum reservoir employing higher-order neural networks (HONNs)

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