Determination of safe mud weight window based on well logging data using artificial intelligence-Reference-Cited by-同舟云学术

Determination of safe mud weight window based on well logging data using artificial intelligence

Published:2018-08-20 Issue:4 Volume:22 Page:193-205
ISSN:1226-9328
Container-title:Geosystem Engineering
language:en
Short-container-title:Geosystem Engineering

Author:

Zahiri Javad¹,Abdideh Mohammad¹,Ghaleh Golab Elias¹

Affiliation:

1. Department of Petroleum Engineering, Omidiyeh Branch, Islamic Azad University, Omidiyeh, Iran

Publisher

Informa UK Limited

Subject

Pollution,Waste Management and Disposal,Environmental Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/12269328.2018.1504697

Reference12 articles.

1. Analysis of stress field and determination of safe mud window in borehole drilling (case study: SW Iran)

2. Davoodizadeh, R. (2016) Developing a software for preparing mechanical earth model (MEM) based on well logging data, Master’s Thesis, Islamic Azad University, Omidiyeh Branch.

3. Estimation of in-situ horizontal stresses using the linear poroelastic model and minifrac test results in tectonically active area

4. Estimation of minimum horizontal stress, geomechanical modeling and hybrid neural network based on conventional well logging data – a case study

5. Comparison of different failure criteria in prediction of safe mud weigh window in drilling practice

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