Real-Time Software to Estimate Friction Coefficient and Downhole Weight on Bit During Drilling of Horizontal Wells

Tahmeen, Mazeda; Hareland, Geir; Aadnøy, Bernt S.

doi:10.1115/omae2014-24620

Cited by 4 publications

(4 citation statements)

References 4 publications

(3 reference statements)

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“…The buoyancy weight of the drillstring is derived, and it is a function of the density of drilling fluid filling the wellbore. Wellbore friction models are then developed, which are then used to compute the axial (tension), frictional, and normal contact forces [25][26][27][28]. Depending on the upward or downward movement of the drillstring in the wellbore, the tension force per element is calculated as Eq.…”

Section: Drillstringmentioning

confidence: 99%

Positive Displacement Motor Condition and Performance Prediction Using Surface and Downhole Sensor Data

Koulidis,

Ahmed

2024

Exploring the World of Drilling

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Positive displacement motors (PDM) are utilized to drill deviated and horizontal sections and are a key technology for deep oil/gas and geothermal wells. The energy transferred at the drill bit is delivered from the drillstring and bottom hole assembly (BHA) components. Energy loss due to friction, wellbore problems (tight spots, poor hole cleaning, etc.), and damage to the drillstring reduce the energy delivered to the drill bit. As a result, there is a reduction in drilling efficiency and an increase in nonproductive time. Mud motor fatigue due to cycling loading significantly influences wellbore quality and drilling performance. This chapter aims to develop a framework using surface and downhole data to predict the condition and performance of mud motors. A systematic and automated approach to access data quality and operations recognition is a fundamental element in the study. The borehole trajectory is reconstructed by implementing the survey data with the corresponding generated forces acting on the drillstring. Mud motor operating efficiency is monitored by continuously evaluating the produced differential pressure, power efficiency, and modeled incremental torque produced from each drillstring element. The theoretical and actual torque produced from the motor and the drillstring is compared to establish a correlation with the measured sensor data.

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Section: Drillstringmentioning

confidence: 99%

Positive Displacement Motor Condition and Performance Prediction Using Surface and Downhole Sensor Data

Koulidis,

Ahmed

2024

Exploring the World of Drilling

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“…Johancsik et al (1984) were the pioneers that focused on the wellbore friction and forces acting on the drillstring in directional wells. Wellbore friction models were developed by considering the buoyancy factor due to the wellbore being filled with drilling fluid to calculate the drillstring weight, axial forces (tension), friction forces and the normal contact forces (Aadnoy et al, 2010;Wu & Hareland, 2012;Tahmeen et al, 2014). The incremental buoyancy weight of each component of the drillstring is (equation 6): is the tension force on an inclined section, and depending on downwards (tripping in) or upwards (tripping out) movement, is calculated using equation 7:…”

Section: Drillstring Torque Modellingmentioning

confidence: 99%

Drilling Monitoring System: Mud Motor Condition and Performance Evaluation

Koulidis

Abdul-Latif

Ahmed

2023

Middle East Oil, Gas and Geosciences Show

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Condition monitoring of bottom hole assembly (BHA) is essential during the different lifecycle stages of the drilling process, whether during the planning, implementation, or post-job failure analysis. Mud motor condition evaluation can assist in preventing mud motor damage and increasing drilling efficiency. This paper aims to develop a monitoring system that combines field data, data analytics and physics-based modelling to evaluate mud motor condition and performance. The drilling monitoring system is a set of modelling and analysis tools that utilize actual drilling data, power section performance data and drillstring design to recreate the drilling process. An unprocessed drilling dataset is required to assess the drilling operations (rotating or sliding mode, rotating off-bottom, backreaming, connections) and reconstruct the borehole trajectory from the measured survey and duty cycle (rotating and sliding mode). Interaction of the BHA and the borehole generate side forces and bending moments along the length of the BHA that are evaluated at each depth increment during the drilling process. Generated power and efficiency of the mud motor are calculated and incorporated into the dynamic simulation. The case study investigates two motor runs in vertical and inclined sections. Dynamic modelling and extensive data analytics assist in visualizing and correlating the input and output variables during the drilling process. The continuous evaluation of the differential pressure on the motor is the primary parameter that is investigated. The motor condition is established with a continuous wear-off test while drilling and correlation matrices to indicate a constant motor state for 135 hours. The system accurately monitors the motor's operating efficiency, with the additional advantage that the mud motor and drill bit performance are differentiated. Precise adjustments of the drilling parameters for the optimum depth of cut positively impact motor efficiency. In addition, an interesting observation shows that accurate modelling of downhole and surface torque provides significant insights regarding bit state. The results demonstrate that with the current methodology decrease in drilling efficiency is detected and is associated with bit wear. The work enables the evaluation of the mud motor condition and performance by utilizing a monitoring system and actual drilling data. The drilling monitoring system is a modelling analysis tool that can provide continuous feedback to the drilling operators about the condition of the BHA. Hence, it enables a real-time optimization process to manage mud motor condition and enhance drilling efficiency.

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“…On the one hand, DWOB can be calculated through torque and drag models using hook load and torque data collected from rig data acquisition system. Torque and drag models has been studied by many investigators [1,2,3,4,5]. On the other hand, DWOB can be obtained by combining measurement reading of downhole instrumentation and calibration model.…”

Section: Introductionmentioning

confidence: 99%

A Study of Downhole Weight on Bit Calibration Model and Performance Assessment on Field Trial Data

Hailong¹,

Liu²,

Li³

et al. 2017

dtetr

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Abstract. Obtaining real downhole weight on bit (DWOB) is a critical issue in drilling. In this paper, a weight on bit (WOB) calibration model which converted measurement reading of WOB sensor to force between bit and formation, namely DWOB, was proposed. Influence factors of measurement reading such as pressure, temperature and drillstring kinetics had been discussed in the derivation of the calibration model. Moreover, the model performance assessment was also studied with field trial data. After calibration of WOB sensor reading, DWOB maintains the fluctuating trend around zero in a small range when running drillstring into hole and pulling it out of hole. In addition, calculations indicate that pressure plays a more important role in calibration model compared to other factors. The calibration model is appropriate for both vertical and inclination wells.

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Real-Time Software to Estimate Friction Coefficient and Downhole Weight on Bit During Drilling of Horizontal Wells

Cited by 4 publications

References 4 publications

Positive Displacement Motor Condition and Performance Prediction Using Surface and Downhole Sensor Data

Positive Displacement Motor Condition and Performance Prediction Using Surface and Downhole Sensor Data

Drilling Monitoring System: Mud Motor Condition and Performance Evaluation

A Study of Downhole Weight on Bit Calibration Model and Performance Assessment on Field Trial Data

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