Drilling Performance Optimization Based on Mechanical Specific Energy Technologies

Chen, Xuyue; Yang, Jin; Gao, Deli

doi:10.5772/intechopen.75827

Cited by 24 publications

(11 citation statements)

References 25 publications

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“…This was realized in the development of a drilling projectile with a cavitation hydraulic vibrator. The correctness of the choice of the proposed direction is confirmed by the works of researchers from the USA, Canada and China, where methods for fore casting and optimizing the technological parameters of drilling are developing in [6]. In China, a new drilling tool has been developed that generates cavitation processes by interrupting the jet and then amplifying them in a resonance chamber.…”

Section: Systematization Of Examples Of the Use Of The Generator In T...mentioning

confidence: 84%

Energy efficient technologies for the mining industry

Zhulai¹,

Zahovailova²

2022

Nauk. visn. nat. hirn. univ.

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The cavitation generator of fluid pressure oscillations is a promising device for productivity and efficiency improvement in the mining industry (hereinafter referred to as the generator). Due to the periodic growth, separation and collapse of cavitation cavities into generator volume, shock pressure oscillations are realized with a frequency range from 1 to 20 kHz. Oscillatory pressure peak values are up by 4 times higher than the steady-state pressure at the generator inlet. The destroyed rock takes on a fatigue character under repeated alternating effects of force impulses. Due to the development of a network of microcracks in the rock, the discontinuity of the rock mass occurs at stresses lower than the rock ultimate strength. This leads to an increase in the rate of penetration, high-quality disintegration of well productive zones and an increase in their production rate, as well as to effective loosening and degassing of outburst-prone coal seams. Purpose. To conduct a systematic analysis of the use of a cavitation generator in the mining industry and evaluate its effectiveness. To develop a simplified method for calculating the maximum values of the range of fluid pressure oscillations by the generator. Methodology. The techniques are based on the study of recent research and publications on the use of the generator as a means of impulse action, and on the processing of on its dynamic parameters experimental data. Findings. The results are given in the form of the main parameters that determine the efficiency of technological processes with hydro pulse exposure. The calculation dependences of values are presented of the cavitation parameter for which of the maximum levels of the fluid oscillation are implemented on the injection pressure and those of the maximum values of the range of fluctuations on the cavitation parameter. Originality. It has been established that the use of the generator as a means of impulse action intensifies the mining industrys technological processes and leads to a significant reduction in specific energy consumption. A new simplified method for calculating the maximum level of the oscillation range has been developed, which makes it possible to determine the rational operation modes of the generator. Practical value. At the stage of designing new equipment or upgrading existing equipment, this simplified method allows determining the effective mode of operation of the generator by engineering methods to reduce the specific energy consumption of the technological process.

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Section: Systematization Of Examples Of the Use Of The Generator In T...mentioning

confidence: 84%

Energy efficient technologies for the mining industry

Zhulai¹,

Zahovailova²

2022

Nauk. visn. nat. hirn. univ.

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“…In order to quantify the effectiveness of the drilling process, in addition to the qualitative determination by means of MSE described in [39,49], an empirical coefficient of BHA unloading capacity k was introduced to pass a certain rock, which is defined as the ratio of axial and rotational energy required to destroy the rocks, taking into account its physical and mechanical properties. On the basis of field data, the model was verified and the average values of k were determined for the passage of each lithotype, at which the most effective destruction of the rock occurs.…”

Section: Discussionmentioning

confidence: 99%

“…Oscillations are generated when the bit hits the bottom hole [37]. In addition to being in the gravity field, the bit is also exposed to the forces of the bottomhole resistance to the penetration of the indenter [38,39]. Using the energy strength criterion, we find the energy stored after impact ( 9):…”

Section: Development Of Algorithms For Association Of Axial and Trans...mentioning

confidence: 99%

Development of Monitoring and Forecasting Technology Energy Efficiency of Well Drilling Using Mechanical Specific Energy

et al. 2022

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This article is devoted to the development of technology for improving the efficiency of directional well drilling by predicting and adjusting the system of static and dynamic components of the actual weight on the bit, based on the real-time data interpretation from telemetry sensors of the bottom hole assembly (BHA). Studies of the petrophysical and geomechanical properties of rock samples were carried out. Based on fourth strength theory and the Palmgren–Miner fatigue stress theory, the mathematical model for prediction of effective distribution of mechanical specific energy, using machine learning methods while drilling, was developed. An algorithm was set for evaluation and estimation of effective destruction of rock by comparing petrophysical data in the well section and predicting the shock impulse of the bit. Based on the theory provided, it is assumed that the given shock impulse is an actual representation of an excessive energy, conveyed to BHA. This excessive energy was quantitively determined and expressed as an adjusting coefficient for optimal weight on bit. The developed mathematical and predictive model helps to identify the presence of ineffective rock destruction and adjust drilling regime accordingly. Several well drilling datasets from the North Sea were analyzed. The effectiveness of the developed mathematical model and algorithms was confirmed by testing well drilling data.

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“…The concept of energy efficiency for a given activity is to utilize less energy to perform the same task. In drilling engineering, it is expressed as the required amount of energy to drill a volume of rock, termed mechanical specific energy (MSE) [39,40]. Axial and rotational energy is transferred from the surface to the drill bit via the drillstring.…”

Section: Vertical Section 1600-5100 Ftmentioning

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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Drilling Performance Optimization Based on Mechanical Specific Energy Technologies

Cited by 24 publications

References 25 publications

Energy efficient technologies for the mining industry

Energy efficient technologies for the mining industry

Development of Monitoring and Forecasting Technology Energy Efficiency of Well Drilling Using Mechanical Specific Energy

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

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