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AI -Powered Predictive Model for Enhanced Drilling Control Performance using Invert Emulsion Fish Oil- based Drilling Mud

Abstract

The oil and gas industries are actively seeking eco-friendly, oil -based drilling muds to enhance drilling performance. This paper investigates the suitability of invert emulsion fish oil -based drilling mud (IEFOBDM) through rheological parameters study in high-pressure, high-temperature wells and automates the prediction of rheological parameters using artificial neural networks (ANN). The IEFOBDM sample, with oil-water ratio of 70:30 was used to collect experimental data at different temperatures (40 degrees C to 80 degrees C) using Model 800 8 -speed rotational viscometer after aging of 16hrs at 100 degrees C.Further, the developed conventional and ANN models for predicting rheological parameters were analysed for their performance.

article Proceedings Paper

date_range 2024

language English

link Link of the paper

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Ashadevi U.

Sutha S.

Ramaswamy A.

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IEFOBDM

Flow behavior index

Flow consistency index

Rheological models,ANN

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Effect of corrosion on flexural strength of reinforced concrete beams with polypropylene fibers

Abstract

An experimental study was performed to investigate the effects of polypropylene fibers on uncorroded and corroded reinforced concrete beams. Three different volume fractions of polypropylene fibers having 0, 0.5, and 1.5%, were tested at four corrosion levels of 0% and approximately 5, 7, and 9%. A full scale of an accelerated corrosion pool was used for the accelerated corrosion process. Reinforced concrete beams were used for an under monotonic bending test. The contribution of the actual corrosion levels of transverse and longitudinal reinforcement bars to the total corrosion levels were obtained from reinforcement bars fully extracted from concrete. Flexural strength, bond-slip, and moment-curvature relationships were examined for uncorroded and corroded reinforced concrete beams. A new model was developed to predict the flexural strength of corroded reinforced concrete beams. The proposed model for predicting the residual flexural strength of corroded beams was compared with test data published in previous studies. Furthermore, a novel model is presented for improved predictions between the actual and theoretically estimated corrosion mass losses, based on Faraday’s law, with the aid of fully extracted reinforcement bars. The model used to predict the flexural strength of corroded reinforced concrete beams with large sizes demonstrated good agreement with current and previously published literature data. In the case of corroded beams comprising differing amounts of polypropylene fibers, the performance of the corroded beams was limited by a fiber volume fraction of 1.5% at low corrosion levels.

article Article

date_range 2018

language English

link Link of the paper

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