Rheological study of fluid flow model through computational flow dynamics analysis and its implications in mud hydraulics

Oil and Gas drilling is not a simple fundamental procedure, never the less it accounts many subsurface uncertainties to deal with. The primary objective of an efficient and optimized drilling program is to analyze the formation uncertainties and chose a systematic logical approach for pursue drilling operations to overcome any problem encountered. Wellbore stability is the most important and cardinal part of drilling i.e. 1. Maintaining wellbore stability limits the Non Productive Time (NPT) for a well and 2. Analyzing the GTO to select a logical and effective approach for drilling saves time and allows remedial measures to get prepared for instability if encountered. During the process of drilling, the stability of wellbore is achieved by minimizing the fractures across the wellbore, which will occur mainly due to imbalanced mechanical forces. If the stresses acting on the wellbore surfaces increases then there will be a chance of pipe stuck due to formation collapse, which makes the wellbore cleaning difficult. The present paper deals in accordance with developing an understanding of the problems associated with wellbore instabilities and focuses on designing of proper drilling fluids formulations to counter these problems. The major experiments conducted are for analysis of formulating mud, namely: a. KCL-Polymer mud system b. Salt saturated mud system. Designing of drilling fluid done for Water Based Mud Systems only using additives in different proportions to maximize control and ensure cost effectiveness of the mud. Apart from the above oil well cleaning has been approached by the Navier stoke's equation, power model, continuity equation to develop a mathematical model to help us understand the lifting of the cuttings as a function of fluid viscosity, density, fluid velocity. This in turn helps us to generate the flow regimes near the wellbore around the tubing while transporting the cuttings. The phase of CFD analyses has initiated with the motto of understanding the flow models and verifying the graphs generated from the simulation on the conventional Software's. (c) 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the International Conference on Sustainable materials, Manufacturing and Renewable Technologies 2021.