In:
Highlights in Science, Engineering and Technology, Darcy & Roy Press Co. Ltd., Vol. 17 ( 2022-11-10), p. 192-203
Abstract:
For SHB oil and gas reservoir, natural fracture development using support vector machine (SVM) and support vector regression method to SHB oil and gas field with the main fault zone of 18 flowing Wells for the single well production forecast, drilling and well completion by input data, production data and dynamic data, bottom hole flowing pressure, adjoining well production data as the input variables such as time, The predicted output value is used as the output variable for yield prediction. The results show that SVM is not only more efficient than the traditional DCA method, but also avoids geological modeling and a large amount of historical fitting work. It has a certain reference value for the formulation of rational production system in SHB block.
Type of Medium:
Online Resource
ISSN:
2791-0210
DOI:
10.54097/hset.v17i.2598
Language:
Unknown
Publisher:
Darcy & Roy Press Co. Ltd.
Publication Date:
2022
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