Optimization of glycol–water-based drilling fluid for drilling slim-hole wells in one of Iranian central oil fields

Jafarifar, Iman; Norouzi-Apourvari, Saeid; Schaffie, Mahin; Ranjbar, Mohammad

doi:10.1007/s12517-023-11292-6

Cited by 3 publications

(2 citation statements)

References 43 publications

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“…The assumption that the side length of the polygon remains unchanged stems from the requirement that MEMS sensors must be mounted on the sides of the prism, and given that MEMS sensors have a certain dimensional footprint, the side length of the polygon must exceed the width of the MEMS sensors. There is an increasing demand for slim-hole drilling, typically defined as having a maximum diameter no greater than 150 mm, with some regions already defining slim-hole drilling as 98.4 mm [ 19 ]. As the number of sensors increases, the inscribed circle diameter corresponding to the redundant configuration scheme expands, and it is not suitable for slim-hole drilling.…”

Section: Design Of Redundant Configuration Scheme For Mems Sensorsmentioning

confidence: 99%

Redundant Configuration Method of MEMS Sensors for Bottom Hole Assembly Attitude Measurement

Zheng,

Wang,

Zhang

et al. 2024

Micromachines

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Micro-electro-mechanical systems inertial measurement units (MEMS-IMUs) are increasingly being employed for measuring the attitude of bottom hole assemblies (BHAs). However, the reliability and measurement precision of a single MEMS-IMU may not meet drilling’s stringent needs. Redundant MEMS-IMU systems can effectively enhance the reliability and precision. This paper proposes a redundant configuration method for MEMS sensors tailored to BHA attitude measurement. Firstly, based on reliability theory and a cost-benefit analysis, considering factors such as cost, size, and reliability, the optimal number of sensors in the redundant system was determined to be six. Considering the structural characteristics of the BHA, a hollow hexagonal prism-shaped redundant configuration scheme was proposed, ensuring the circulation of drilling fluid within the drill pipe. Next, by employing Kalman filtering to integrate the output data from the six sensors, a virtual IMU (VIMU) was formed. Finally, experimental verification was carried out. The results confirmed that, after redundancy implementation, the velocity random walk of the accelerometer decreased by an average of 58% compared to a single MEMS-IMU, and bias instability was reduced by an average of 54%. The angular random walk of the gyroscope decreased by an average of 58%, and bias instability was reduced by an average of 37%. This research provides a theoretical foundation for enhancing the precision and reliability of BHA attitude measurements.

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Section: Design Of Redundant Configuration Scheme For Mems Sensorsmentioning

confidence: 99%

Redundant Configuration Method of MEMS Sensors for Bottom Hole Assembly Attitude Measurement

Zheng,

Wang,

Zhang

et al. 2024

Micromachines

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“…Water-based mud types are generally costeffective, and this makes them become workable in various situations [1], while, oil-based fluids have always been characterized to be expensive and costly [2], which generally makes them unfeasible in some cases. It is worth well recognizing that cost, technical performance, and environmental impact are the three main basic and effective reasons to guide the correct and proper selection of the drilling fluids [3]. The type of fluid selected is highly dependent on the anticipated well conditions or on the specific interval of the well being drilled.…”

Section: Introductionmentioning

confidence: 99%

Aqueous drilling fluids systems incorporated with green nanoparticles and industrial spent caustic: Optimum rheology and filtration loss properties

Sarbast¹,

Kamal²,

Salih³

et al. 2023

E3S Web of Conf.

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Drilling fluids are one of the most significant components of drilling operations for proper functions including fluid loss reduction into the formation and outstanding rheological properties. The drilling fluids according to environmental regulations and governmental rules have to be friendly to the environment to lessen the negative effects on the environment and improve safety. In the current study, a cost-effective industrial alkali waste (spent caustic) was used as a pH controller along with the environmentally friendly uncoated and Chitosan-coated green magnetite nanoparticles (MNPs) in water-based drilling fluid systems. The study focuses on exploring the impact of the alkali waste compared to the conventional alkali (NaOH) on rheology and filtration loss properties. The flow models of the drilling fluid systems were examined. The results proved that the drilling fluid formulated with polymer-coated green MNPs and waste alkali exhibited higher rheological properties and lower mud cake thickness and filtration volume compared to the reference fluid, thus, the waste alkali could replace NaOH as a pH controller. The flow behavior of new fluids could be described precisely using the Herschel-Bulkley flow model. Whereas, the Bingham plastic flow model described the fluid systems incorporated with uncoated and polymer-coated green NPs and NaOH.

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Application of soft computing approaches for modeling annular pressure loss of slim-hole wells in one of Iranian central oil fields

et al. 2023

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In order to have a better control over the drilling process and reduce the overall cost of this drilling operation, engineers have tried to use soft computing (SC) techniques to conduct the preestimation of drilling events. It is critically important to estimate the annular pressure losses (APL) for non-Newtonian drilling muds within annulus in order to specify pump rates and also to be able to choose the most appropriate mud pump systems while conducting the drilling operations. To develop the vigorous and exact models to enable the prediction of APL, two popular models were employed, i.e., multilayer perceptron (MLP) [optimized by levenbergmarquardt (LM), bayesian regularization (BR), scaled conjugate gradient (SCG), Resilient back propagation (RB), and broyden fletcher goldfarb shanno (BFGS)] and radial basis function (RBF). Subsequently, applying a committee machine intelligent system (CMIS), the four top models were combined into a unit paradigm. Several tools such as error distribution diagram, cross plot, trend analysis, and cumulative frequency diagram were used in conjunction with statistical calculation to assess the efficiency of models. Consequently, the CMIS model was introduced as the most exact technique which has the greatest coefficient of determination (R 2 close to one) as well as the lowest root mean square error (RMSE close to zero) for the tested dataset.

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Optimization of glycol–water-based drilling fluid for drilling slim-hole wells in one of Iranian central oil fields

Cited by 3 publications

References 43 publications

Redundant Configuration Method of MEMS Sensors for Bottom Hole Assembly Attitude Measurement

Redundant Configuration Method of MEMS Sensors for Bottom Hole Assembly Attitude Measurement

Aqueous drilling fluids systems incorporated with green nanoparticles and industrial spent caustic: Optimum rheology and filtration loss properties

Application of soft computing approaches for modeling annular pressure loss of slim-hole wells in one of Iranian central oil fields

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