Logging curve reconstructions based on MLP multilayer perceptive neural network
by Li Ming; Rui Deng; Chengquan Gao; Rigong Zhang; Xiaojun He; Jie Chen; Tao Zhou; Zhixian Sun
International Journal of Oil, Gas and Coal Technology (IJOGCT), Vol. 34, No. 1, 2023

Abstract: As an important component of the petroleum industry, logging curves play an important role in lithology identification, reservoir evaluation, and geological structure analysis. However, instrument measurement or drilling problems often result in distorted or discontinuous logging curves in certain profiles. Retesting is costly and challenging to operate. Traditional linear fitting and statistical analysis are insufficient for the analysis and evaluation of ultrafine reservoirs. To address this issue, MLP neural network (multi-layer perception) technology has established a curve prediction model based on training data. The nonlinear factors are introduced through the activation function, the optimal solution is found by using the optimisation methods of loss function and MBGD (small batch gradient descent method), and the best neural network model is obtained by optimising the number of hidden layers and nodes of the neural network. Compare the predicted curve with the original measurement curve for quality control to obtain the best result in constructing curve weights. The results show that MLP neural network technology can provide reliable technical support for accurately predicting logging curves and enhancing reservoir analysis and evaluation. [Received: March 8, 2023; Accepted: May 5, 2023]

Online publication date: Tue, 19-Sep-2023

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Oil, Gas and Coal Technology (IJOGCT):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com