Instantaneous Monitoring of Drill Bit Wear and Specific Energy as a Criteria for the Appropriate Time for Pulling Out Worn Bits (Russian)

Abbas, Rafid K.; Hassanpour, Ali; Hare, Colin; Ghadiri, Mojtaba

doi:10.2118/172269-ru

Cited by 4 publications

(5 citation statements)

References 1 publication

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“…Even though, the trend of the graphs shows a good agreement with the qualitative in-situ cutter dullness rate. In general, the overall graph trends determined from all various power indices in Equation ( 20) agree reasonably with the real-time in-situ insert dullness and illustrates the improvement of the anticipations as compared to the previous works [9]. Power indices less than 2.5 (1.5 and 2.0 in Equation ( 20) were also investigated and the results are shown in Table 4, but the optimum power index to one decimal place was obtained to be the value of 2.5 obtained from the statistical analysis using Mean Absolute Percentage Error (MAPE).…”

Section: -Results and Discussionsupporting

confidence: 77%

“…Figure (8) demonstrates the plot of the anticipated insert dullness rate (when power index = 2.5) compared with the qualitative in-situ insert dullness rate for well B1 at different depths. It is noticed that the anticipated dullness rate reasonably agrees with the qualitative in-situ tooth dullness rate at all depths, except slight divergence appeared from depth 1850 m to 2185 m. For well B2 Figure (9) illustrates that the anticipated dullness rate agrees with the in-situ dullness rate, however overestimation of dullness rate was observed after depth 2561 m until depth 3009 m. The reason for that might be due to the existence of shale layers at the mentioned depth interval as shown in Figure (2) causing "bit balling" phenomena. In this situation the abrasive wear particles are accumulated in the shale and do not enter the contact interface thus reducing abrasive wear of the system.…”

Section: Wells B1 B2 B3 and A2supporting

confidence: 66%

“…Table 2 illustrates the commercial type of the drill bit used to excavate the rock formations of well A1 in Southern Iraq corresponding to the drill bit manufacturer. Table 3 shows the rock formations being excavated with the corresponding hardness in GPa, along with the drilling parameters taken from the recent study of Abbas et al [9].…”

Section: -Results and Discussionmentioning

confidence: 99%

“…Abbas et al [9] have applied a combination of a bit tooth wear indicator along with specific energy for monitoring the dullness or wear of roller-cone drill bits during real-time drilling at various oil well drilled by tri-cone bits in the South of Iraq region. The specific energy method showed a good indication of bit tooth dulling, however at certain depths there was differences in the trend between the in-situ wear of the bit tooth with the specific energy.…”

Section: =mentioning

confidence: 99%

“…The specific energy method showed a good indication of bit tooth dulling, however at certain depths there was differences in the trend between the in-situ wear of the bit tooth with the specific energy. Abbas et al [9] attributed this incompatible trends between the two approaches to inconsiderable important factors that were missing in the specific energy equations. These factors are mainly (i) the phenomenon of three body abrasion occurred on the cuttings of the rock being drilled producing a kind of motion free of these cuttings letting the rock cuttings to roll and slide, (ii) the materials that the bit consists of and (iii) the resistance of the rock against wear or hardness.…”

Section: =mentioning

confidence: 99%

See 4 more Smart Citations

A novel method for estimating the real-time dullness of tri-cone oil drill bits

Abbas

Ghanbarzadeh

Hassanpour

2020

Engineering Failure Analysis

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It is vital to anticipate the durability of drill bits for all drilling operations to prolong the drilling processes and reducing economic losses. Many attempts have been made to handle this issue by assessing the parameter of specific energy of the bits generated during drilling along with well logs and geophysical analyses. Although these techniques could provide acceptable precautions of the dullness of bit cutters, lack of consideration of material properties of the rock and the bit is their main shortcoming which could result in misleading interpretations. The present study deals with the development of a wear model of Tri-cone bits based on the concept of three body abrasive wear taking into account two main factors , rock hardness and the hardness of the materials forming the Tri-cone drill bit. Other parameters that have significant effect are also considered such as weight on bit, penetration rate, rotation speed and the required time to penetrate an interval depth. In this research, the bit wear quantified by the new developed model is compared with the in-situ dullness of the drill bit for a number of wells being excavated in southern Iraq, where a reasonable agreement was observed. The present work could be extended on other oil wells and applied on other types of drill bits to confirm the validation of the new model.

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Section: -Results and Discussionsupporting

confidence: 77%

Section: Wells B1 B2 B3 and A2supporting

confidence: 66%

Section: -Results and Discussionmentioning

confidence: 99%

Section: =mentioning

confidence: 99%

Section: =mentioning

confidence: 99%

See 3 more Smart Citations

A novel method for estimating the real-time dullness of tri-cone oil drill bits

Abbas

Ghanbarzadeh

Hassanpour

2020

Engineering Failure Analysis

Self Cite

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Abrasiveness evaluation of complex strata based on PDC special energy consumption

Zhang¹,

Wang

Liu³

et al. 2021

J Petrol Explor Prod Technol

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The rock abrasiveness is determined with various methods, which results in no uniform standard formed. In order to predict the PDC bit wear and the abrasiveness of complex strata, the force analysis of the PDC broken rock was carried out, and the bit axial load and torque were obtained, respectively. Then, the calculation model of PDC special energy consumption is deduced. Combining the typical distribution patterns of different strata, the specific energy prediction model of complex strata is established. The wear coefficient of PDC is obtained by the relationship between the triaxial compressive strength of rock and the specific energy of rock breaking, and the grading coefficient and grading standard of abrasiveness of the composite formation are derived, which led to the grading coefficient and grading standard of complex strata abrasiveness. The field test of a well in the north of Songliao Basin verified the rationality and effectiveness of the abrasiveness grading standards and provided the basis for the selection and design of the bit.

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Multi Well Analysis Data Processing for Event Analysis and Mitigation

Vallet

Pavel

Chevallier

et al. 2021

IADC/SPE Asia Pacific Drilling Technology Conference

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In the current economic environment, delivering wells on time and on budget is paramount. Well construction is a significant cost of any field development and it is more important than ever to minimize these costs and to avoid unnecessary lost time and non-productive time. Invisible lost time and non-productive time can represent as much as 40% of the cost of well construction and can lead to more severe issues such as delaying first oil, losing the well or environmental impact. There has been much work developing systems to optimize well construction, but the industry still fails to routinely detect and avoid problematic events such as stuck pipe, kicks, losses and washouts. Standardizing drilling practice can help also to improve the efficiency, this practice has shown a 30% cost reduction through repetitive and systematic practices, automation becomes the key process to realize it and Machine Learning introduced by new technologies is the key to achieve it. Drilling data analysis is key to understanding reasons for bad performances and detecting at an early stage potential downhole events. It can be done efficiently to provide to the user tools to look at the well construction process in its whole instead of looking at the last few hours as it is done at the rig site. In order to analyze the drilling data, it is necessary to have access to reliable data in Real-Time to compare with a data model considering the context (BHA, fluids, well geometry). Well planning, including multi-well offset analysis of risks, drilling processes and geology enables a user to look at the full well construction process and define levels of automation. This paper applies machine learning to a post multi-well analysis of a deepwater field development known for its drilling challenges. Minimizing the human input through automation allowed us to compare offset wells and to define the root cause for non-productive time. In our case study an increase of the pressure while drilling should have led to immediate mitigation measures to avoid a wiper trip. This paper presents techniques used to systematize surface data analysis and a workflow to identify at an early stage a near pack off which was spotted in an automatic way. The application of this process during operations could have achieved a 10%-time reduction of the section 12 ¼’’.

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Instantaneous Monitoring of Drill Bit Wear and Specific Energy as a Criteria for the Appropriate Time for Pulling Out Worn Bits (Russian)

Cited by 4 publications

References 1 publication

A novel method for estimating the real-time dullness of tri-cone oil drill bits

A novel method for estimating the real-time dullness of tri-cone oil drill bits

Abrasiveness evaluation of complex strata based on PDC special energy consumption

Multi Well Analysis Data Processing for Event Analysis and Mitigation

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