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Drilling tool life management and CBM work flow [2,4]

Drilling tool life management and CBM work flow [2,4]

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In the challenging downhole environment, drilling tools are normally subject to high temperature, severe vibration and other harsh operation conditions. The drilling activities generate massive field data, namely Field Reliability Big Data (FRBD), which includes downhole operation, environment, failure, degradation and dynamic data. FRBD has large...

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... learning, data mining, decision sup- port methods, artificial intelligence algorithms, regression, and extrapolation are used for handling large volume of real-time con- dition data and providing maintenance recommendations based on tool health predictions [97]. An example of oil and gas drilling tool life management and CBM work flow is shown in Fig. ...

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... In the drilling environment, the vibration of the drill string will cause debris to move into the sealing interface [7]. Abrasive particles also undergo squeezing and fragmentation process during the three-body wear, and these alter the wear process and damage mechanism. ...
... Increasing the contact pressure of the rubber is a common method to reduce particle intrusion and abrasive wear in the drilling environment [6], but high pressure could aggravate the wear loss of the rubber seals. Typically, low contact pressure is widely used in shallow drilling to reduce friction and wear loss, but low pressure also makes it easier for fragments to enter into sealing interface [7]. In deep well drilling, high pressure is a common method to prevent debris intrusion. ...
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... These measurements aid in understanding the drilling tool's condition and the cause for its vibration and shock. [4][5][6] Based on the feedback information, researchers have adjusted the working parameters of the drilling tool and incorporated corresponding measures to reduce vibration. Thus, the MWD tool failure, drill string fatigue, and positive displacement motor damage can be avoided to protect the bottom hole assembly (BHA). ...
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... Therefore, the results of this research method are not very accurate. Furthermore, in terms of the entry mechanism of particles, for downhole applications in particular, it is generally believed that the particle entering into the sealing interface is related to the violent vibration of downhole tools [24][25][26]. The size and amount of particles entering the sealing interface are related to the drill string vibration parameters, such as vibration types, amplitude, frequency, and so on [27,28]. ...
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... Furthermore, in terms of the entry mechanism of particles, for downhole applications in particular, it is generally believed that the particle entering into the sealing interface is related to the violent vibration of downhole tools [24][25][26]. The drill string vibration is random, so the entry of particles is necessarily not continuous, but random. ...
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... [11] Given the application program associated with a fuzzy strategy dependent dependability method for learning the disappointment conduct of compressor home devices of the coal-fired thermal power plants. [12] assessed the overall performance of the repairable method together with the setup associated with a vague Lambda Tau method. [13] given an incorporated framework for learning the disappointment conduct of drinking, water remedy grows within the thermal power market. ...
... Increasing/decreasing pattern of a variety of dependability variables was analysed as well as mending of upkeep periods was accomplished. The flow chart just for the suggested job was found around in the architecture diagram ( Fig. 1) FMEA, primarily created by NASA found 1963 since in that case it's been utilized efficiently for the device as well as security evaluation of different devices to come down with various sectors such as for instance winter energy sector, the newspaper business, aerospace, health-related, auto, as well as nuclear [5,12,17,20]. In order to conquer the limits of conventional rule and FMEA bottom FMEA as talked about in [3], there's a requirement to create a longer FMEA method. ...
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... Stick-slip occurs when the drill bit is frictionally engaged with the formation in a non-linear manner; the non-linearity causes the bit to switch between two phases; an adhesion phase and a sliding phase. Therefore, the velocity value undergoes intense variations; the severity of this phenomenon can go as far as completely stopping the drilling process, wherein, rotational speed variations are considered a strong indicator of stick-slip [23,24]. ...
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... Stick-slip occurs when the drill bit is frictionally engaged with the formation in a non-linear manner; the non-linearity causes the bit to switch between two phases; an adhesion phase and a sliding phase. Therefore, the velocity value undergoes intense variations; the severity of this phenomenon can go as far as completely stopping the drilling process, wherein, rotational speed variations are considered a strong indicator of stick-slip [23,24]. ...
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Featured Application: This research work can be applied to provide a preventive maintenance planning and strategy of drill bit in rotary drilling systems under harmful torsional vibrations during the drilling process. Abstract: In oil and gas industry, rotary drilling systems are used for energy exploration and productions. These types of systems are composed of two main parts: mechanical and electrical parts. The electrical part is represented by rotating motor called top drive; however, the mechanical part of the system is composed of tool string with many pipes, at the bottom end of these pipes the bit is attached to cut the rock during their contact. Since the bit is in a direct contact with rock characteristic variations, it can be under risk for heavy damage. The latter is principally caused by the fact that the rock-bit interaction term is highly nonlinear and unpredictable. In literature, many mathematical models have been proposed for rock-bit interaction, but they do not reflect the dynamic of the bit under vibrations since torsional and axial vibrations are strongly coupled and synchronized with it. In industrial development, the design of drill bit has faced many improvements in order to overcome these vibrations and mitigate unpredictable phenomena. Even though, the practical use of these drill bits confirmed that there are still many failures and damages for the new designs; moreover, bits' virtual life become shorter than before. The objective of this study is to analyze the drill bit deformations caused by the stick-slip vibration phenomenon which is characterized by high-frequency high-amplitude in rotary drilling systems. The obtained results were validated through a case study of MWD (measurement while drilling) data of well located in a Southern Algerian oil field.
... [11] Given the application program associated with a fuzzy strategy dependent dependability method for learning the disappointment conduct of compressor home devices of the coal-fired thermal power plants. [12] assessed the overall performance of the repairable method together with the setup associated with a vague Lambda Tau method. [13] given an incorporated framework for learning the disappointment conduct of drinking, water remedy grows within the thermal power market. ...
... Increasing/decreasing pattern of a variety of dependability variables was analysed as well as mending of upkeep periods was accomplished. The flow chart just for the suggested job was found around in the architecture diagram ( Fig. 1) FMEA, primarily created by NASA found 1963 since in that case it's been utilized efficiently for the device as well as security evaluation of different devices to come down with various sectors such as for instance winter energy sector, the newspaper business, aerospace, health-related, auto, as well as nuclear [5,12,17,20]. In order to conquer the limits of conventional rule and FMEA bottom FMEA as talked about in [3], there's a requirement to create a longer FMEA method. ...
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... Hence, there is a requirement for a dynamic and adjustable downhole tool electronic lifecycle management, operational, and maintenance support. As in other sectors, e.g. the aviation [35] or the automotive industry [36], the oil and gas industry actively commences the research of novel strategies to derive suitable metrics for downhole tool reliability and maintenance scheduling [37]. As illustrated in Fig. 5 novel maintenance strategies emerged from traditional approaches [38], [39]. ...
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Downhole tools are complex electro-mechanical systems that perform critical functions in drilling operations. The electronics within these systems provide vital support, such as control, navigation and front-end data analysis from sensors. Due to the extremely challenging operating conditions, namely high pressure, temperature and vibrational forces, electronics can be subjected to complex failure modes and incur operational downtime. A novel Artificial Intelligence (AI)-driven Condition Based Maintenance (CBM) support system is presented, combining Bottom Hole Assembly (BHA) data with Big Data Analytics (BDA). The key objective of this system is to reduce maintenance costs along with an overall improvement of fleet reliability. As evidenced within the literature review, the application of AI methods to downhole tool maintenance is underrepresented in terms of oil and gas application. We review the BHA electronics failure modes and propose a methodology for BHA-Printed Component Board Assemblies (PCBA) CBM. We compare the results of a Random Forest Classifier (RFC) and a XGBoost Classifier trained on BHA electronics memory data cumulated during 208 missions over a 6 months period, achieving an accuracy of 90 % for predicting PCBA failure. These results are extended into a commercial analysis examining various scenarios of infield failure costs and fleet reliability levels. The findings of this paper demonstrate the value of the BHA-PCBA CBM framework by providing accurate prognosis of operational equipment health leading to reduced costs, minimised Non-Productive Time (NPT) and increased operational reliability.