Al Dhaif, R., Ibrahim, A.F. and Elkatatny, S. (2022) Prediction of Surface Oil Rates for Volatile Oil and Gas Condensate Reservoirs Using Artificial Intelligence Techniques. Journal of Energy Resources Technology, Transactions of the ASME, 144, Article 033001.
https://doi.org/10.1115/1.4051298

has been cited by the following article:

• TITLE: Rock Stress Measurement Methods in Rock Mechanics—A Brief Overview

  AUTHORS: Mohammed Sazid, Khaled Hussein, Khalid Abudurman

  KEYWORDS: Rock Stress, In Situ Stress, Hydraulic Fracturing, Flat Jack and Artificial Intelligence

  JOURNAL NAME: World Journal of Engineering and Technology, Vol.11 No.2, May 9, 2023

  ABSTRACT: The current brief review paper on rock stress measurement methods is very crucial factors in mining, civil infrastructure, geothermal energy, nuclear underground disposal, large underground oil storage caverns, etc as well as in geology and geophysical area. Measurement of in situ rock stress is a very challenging and difficult quantity and not possible to measure directly. Measure the deformation or displacements or hydraulic factors by perturbing the rock and converting the measured quantity into rock stress. There are two main categories for measuring methods: direct and indirect methods. The most common methods of direct in situ stress techniques are briefly described including advantages, disadvantages and limitations. Moreover, authors included the application of Artificial Intelligence (AI) for rock stress measurement methods.