Unique ROP Predictor Using Bit-specific Coefficient of Sliding Friction and Mechanical Efficiency as a Function of Confined Compressive Strength Impacts Drilling Performance

Caicedo, Hector U.; Calhoun, William J.; Ewy, Russell T.

doi:10.2523/92576-ms

Cited by 32 publications

(3 citation statements)

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“…In order to compare the ARS at the wellbore wall (after the pilot bit has drilled) with the intact rock lying underneath the pilot bit, the method presented by [26] was followed in this work.…”

Section: Introductionmentioning

confidence: 99%

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An Experimental Investigation of Drilling Performance Improvement Using Reaming While Drilling

Roohi

Ashena

Thonhauser

et al. 2021

Journal of Energy Resources Technology

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This work investigates the drilling performance by reaming while drilling (RWD) using a dual-body bit and compared it with conventional drilling by a standard drilling bit. The dual-body bit consisted of a 2.45-in pilot bit located at a short distance ahead of a 2.47*3.97-in reamer. Conducting a series of drilling experiments at a simulation drilling rig with full monitoring sensors, we further studied the drilling performance as a function of the distance between the pilot bit and the reamer which affect mud diffusion and the resultant change in pore pressure and stress. A method was devised to eliminate the drill-string vibration and its effect on the drilling performance and the energy consumed. The mechanical specific energy (MSE) calculated for each case was considered as a drilling performance indicator. Using two laboratory experiments as well as analytical thermo-poro-elastic calculations of the Mechanical Specific Energy (MSE), the MSE changes were monitored and recorded. Comparison of this drilling performance indicator was used in both the RWD and the conventional drilling assembly to analyze the effect of RWD. Based on the results, with increasing the distance between the pilot bit and reamer, there is an increase in improvement of drilling performance in terms of MSE reduction. The best drilling performance indicator (MSE reduction of 84%) was observed with the distance between the pilot bit and the reamer of 43.3 cm. This is considered a novel finding in reaming while drilling.

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Section: Introductionmentioning

confidence: 99%

“…ARSarea,i: Apparent Rock Strength [psi] or the rock Uniaxial Compressive Strength (UCS) (Caicedo , et al, 2005) Ai: Area of the rock segments below the pilot bit or the reamer [in 2 ] Practically, MSE is found using the following relation:…”

mentioning

confidence: 99%

An Experimental Investigation of Drilling Performance Improvement Using Reaming While Drilling

Roohi

Ashena

Thonhauser

et al. 2021

Journal of Energy Resources Technology

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“…4 Caicedo and Calhoun created a method of predicting Rate of Penetration of a given bit using MSE, and they successfully tested the method on rigs in 2005 using real time data. 13 In 2008 Armenta heuristically derived a bit-specific hydraulic term to modify Teale's MSE equation, which he called Drilling Specific Energy. He postulates that a major part of bit efficiency comes from its hydraulic performance, and this term takes hydraulic performance into account for specific bits at specific Weight on Bit.…”

Section: Mse Applied To Pdc Drillingmentioning

confidence: 99%

Optimization of Operating Parameters for Minimum Mechanical Specific Energy in Drilling

Hamrick¹

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Efficiency in drilling is measured by Mechanical Specific Energy (MSE). MSE is the measure of the amount of energy input required to remove a unit volume of rock, expressed in units of energy input divided by volume removed. It can be expressed mathematically in terms of controllable parameters; Weight on Bit, Torque, Rate of Penetration, and RPM. It is well documented that minimizing MSE by optimizing controllable factors results in maximum Rate of Penetration. Current methods for computing MSE make it possible to minimize MSE in the field only through a trial-and-error process. This work makes it possible to compute the optimum drilling parameters that result in minimum MSE. The parameters that have been traditionally used to compute MSE are interdependent. Mathematical relationships between the parameters were established, and the conventional MSE equation was rewritten in terms of a single parameter, Weight on Bit, establishing a form that can be minimized mathematically. Once the optimum Weight on Bit was determined, the interdependent relationship that Weight on Bit has with Torque and Penetration per Revolution was used to determine optimum values for those parameters for a given drilling situation. A project of this size and duration is only possible with a great deal of support. My wife, Debbie, has been my greatest benefactor, and I could not have done it without her unwavering devotion. I would also like to thank my kids, Scott and Caroline, for their patience and inspiration. My parents, Louis and Barbara Hamrick are the most generous people I have ever encountered, and I could never have even begun the project without their backing. My father, through his company Northco, was particularly generous with lending machine time and funding for experimentation at the end of the project when all other sources were exhausted. I would like to thank URS Corporation and National Energy Technology Laboratory for providing infrastructure and financial support. Technical and moral assistance was lent by many people, including each member of my committee. Each of them deserves a measure of appreciation for their individual and collective service. Of particular assistance outside of my committee were Peter Zhang, who was always available for help sample preparation, and Jared Tannenbaum, who helped with load cells and micro-cracking. v

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Robust Machine Learning Predictive Models for Real-Time Determination of Confined Compressive Strength of Rock Using Mudlogging Data

Zamanzadeh Talkhouncheh,

Davoodi,

Wood

et al. 2024

Rock Mech Rock Eng

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Unique ROP Predictor Using Bit-specific Coefficient of Sliding Friction and Mechanical Efficiency as a Function of Confined Compressive Strength Impacts Drilling Performance

Cited by 32 publications

References 0 publications

An Experimental Investigation of Drilling Performance Improvement Using Reaming While Drilling

An Experimental Investigation of Drilling Performance Improvement Using Reaming While Drilling

Optimization of Operating Parameters for Minimum Mechanical Specific Energy in Drilling

Robust Machine Learning Predictive Models for Real-Time Determination of Confined Compressive Strength of Rock Using Mudlogging Data

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