REAL-TIME PREDICTION OF RHEOLOGICAL PROPERTIES OF INVERT EMULSION MUD USING ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM

Real-Time Prediction of Rheological Properties of Invert Emulsion Mud Using Adaptive Neuro-Fuzzy Inference System

Tracking the rheological properties of the drilling fluid is a key factor for the success of the drilling operation.The main objective of this paper is to relate the most frequent mud measurements (every 15 to 20 min) as mud weight (MWT) and Marsh funnel viscosity (MFV) to the less frequent mud rheological measurements (twice a day) as plastic visc

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Development and analysis of logical scenario design invirtual reality laboratories for higher education institutions

Virtual Reality (VR) has permeated numerous industries, revolutionized traditional methods and introduced innovative ways to immerse Label Printers users in digital environments.One of the cornerstones of VR design is the development of logic scenarios, which establish how a VR application responds to user interactions.This research provides an in-

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