Development of an Intelligent System for the Analysis of both Static and Real-time Oil and Gas Well Drilling Data

Tahmeen, Mazeda; Hareland, Geir; Rashidi, B.; Islam, Nasikul

doi:10.5539/mas.v4n12p3

Cited by 7 publications

(2 citation statements)

References 5 publications

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“…9 20 5 Lateral force, kN 0-50 10 Table 1 Table 2 be done safely and efficiently by using an intelligent-drilling integrated system (IDIS) [2][3][4][5][6][7][8][9]. An IDIS, based on a system designed for logging while drilling (LWD) and a rotary drilling system that is connected to an intelligent system on the surface and is operated with the use of drilling-analysis software, makes it possible to automatically measure and control drilling engineering parameters (DEP).…”

Section: Indeces Valuementioning

confidence: 99%

Development and Use of a Downhole System for Measuring Drilling Engineering Parameters

Chen

2015

Chem Technol Fuels Oils

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A system capable of operating in downhole conditions at depths of several thousand meters is developed for measuring drilling engineering parameters (DEP) in real time. The aim is to monitor DEP during drilling, including the weight on the drill bit (WOB), torque on the drill bit (TOB), and lateral force on the drill bit. The design of the structure and parameters of the sensors, calibration of the sensors, and the field test results are described. Four separate strain gages and a measuring system are designed to measure DEP in the downhole during drilling in real time. The field tests show that the designs are sound. The measured axial force is greater than the calculated value, which means that the real WOB is higher than the logging WOB and the real TOB is greater than the logging torque. Thus, the survey instruments can meet the requirements for rotary steerable drilling and conventional drilling. The measured WOB and TOB data can also be used to analyze drill string vibrations. Keywords: measurement of downhole parameters during drilling, drilling engineering parameters (DEP), weight on bit, torque on bit, lateral force on bit.The safety and efficiency of drilling operations are of the highest priority for drilling companies due to the increasing risk of serious accidents and the complexity of those operations [1]. Rapid and accurate drilling of wells is one of the criteria by which the efficiency of drilling operations is evaluated. Drilling can

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Section: Indeces Valuementioning

confidence: 99%

Development and Use of a Downhole System for Measuring Drilling Engineering Parameters

Chen

2015

Chem Technol Fuels Oils

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“…But most of the existing software is needed to be integrated with other 'data entry' tools for retrieving real-time oil drilling data provided by the WITSML service company in rig site or remote WITSML server. The Intelligent Drilling Advisory system (IDAs) is being developed [2] as a 'complete' engineering system which is able to retrieve oil drilling data from onsite or remote servers for visualization as well as, do the analysis using different engineering modules in real-time environment. WITSML standard drilling data can be both depth and time based and is updated in every 1 second by the server too.…”

Section: Introductionmentioning

confidence: 99%

Real Time Application of Bearing Wear Prediction Model Using Intelligent Drilling Advisory System

Tahmeen

Hareland

2011

Volume 7: Dynamic Systems and Control; Mechatronics and Intelligent Machines, Parts a and B

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The real-time prediction of bearing wear for roller cone bits using the Intelligent Drilling Advisory system (IDAs) may result in better performance in oil and gas drilling operations and reduce total drilling cost. IDAs is a real time engineering software and being developed for the oil and gas industry to enhance the performance of complex drilling processes providing meaningful analysis of drilling operational data. The prediction of bearing wear for roller cone bits is one of the most important engineering modules included into IDAs to analyze the drilling data in real time environment. The ‘Bearing Wear Prediction’ module in IDAs uses a newly developed wear model considering drilling parameters such as, weight on bit (WOB), revolution per minute (RPM), diameter of bit and hours drilled as a function of IADC (International Association of Drilling Contractors) bit bearing wear. The drilling engineers can evaluate bearing wear status including cumulative wear of roller cone bit in real time while drilling, using this intelligent system and make a decision on when to pull out the bit in time to avoid bearing failure. The wear prediction module, as well as the intelligent system has been successfully tested and verified with field data from different wells drilled in Western Canada. The estimated cumulative wears from the analysis match close with the corresponding field values.

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Applications and theoretical perspectives of artificial intelligence in the rate of penetration

Ossai

Duru

2022

Petroleum

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Development of an Intelligent System for the Analysis of both Static and Real-time Oil and Gas Well Drilling Data

Cited by 7 publications

References 5 publications

Development and Use of a Downhole System for Measuring Drilling Engineering Parameters

Development and Use of a Downhole System for Measuring Drilling Engineering Parameters

Real Time Application of Bearing Wear Prediction Model Using Intelligent Drilling Advisory System

Applications and theoretical perspectives of artificial intelligence in the rate of penetration

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