Abstract
AbstractIn the process of evaluating the oilfield development plans, there always exist uncertainties in data, weight assignment, and scheme grading. In this article, an improved evaluation method is introduced to tackle the uncertainties based on a cloud model. The indicators of a development plan are input into this model and a contribution score cloud is obtained for evaluation. The evaluation clouds of all the development plans are sorted by the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS), with the weighted hamming distance. Then we can get the optimum development plan according to the order. In this model, the randomness and the fuzziness are both taken into consideration, and the feasibility and validity are verified by an example.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
