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Journal ArticleDOI

Comprehensive Hydromechanical Specific Energy Calculation for Drilling Efficiency

01 Jan 2015-Journal of Energy Resources Technology-transactions of The Asme (American Society of Mechanical Engineers)-Vol. 137, Iss: 1, pp 012904
About: This article is published in Journal of Energy Resources Technology-transactions of The Asme.The article was published on 2015-01-01. It has received 36 citations till now. The article focuses on the topics: Specific energy.
Citations
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Journal ArticleDOI
TL;DR: In this paper, a new MSE model for rotating drilling with positive displacement motor (PDM) is established based on the analysis of PDM performance, and a method for real-time optimization of drilling parameters based on MSE is also presented, which can be used to maximize ROP and allow operators to drill longer and avoid unnecessary trips.

67 citations

Journal ArticleDOI
TL;DR: In this paper, a new robust model was introduced to predict the rate of penetration (ROP) using both drilling parameters (WOB, Q, ROP, torque (T), standpipe pressure (SPP), uniaxial compressive strength (UCS), and mud properties (density and viscosity) using 7000 real-time data measurements.
Abstract: During the drilling operations, optimizing the rate of penetration (ROP) is very crucial, because it can significantly reduce the overall cost of the drilling process. ROP is defined as the speed at which the drill bit breaks the rock to deepen the hole, and it is measured in units of feet per hour or meters per hour. ROP prediction is very challenging before drilling, because it depends on many parameters that should be optimized. Several models have been developed in the literature to predict ROP. Most of the developed models used drilling parameters such as weight on bit (WOB), pumping rate (Q), and string revolutions per minute (RPM). Few researchers considered the effect of mud properties on ROP by including a small number of actual field measurements. This paper introduces a new robust model to predict the ROP using both drilling parameters (WOB, Q, ROP, torque (T), standpipe pressure (SPP), uniaxial compressive strength (UCS), and mud properties (density and viscosity) using 7000 real-time data measurements. In addition, the relative importance of drilling fluid properties, rock strength, and drilling parameters to ROP is determined. The obtained results showed that the ROP is highly affected by WOB, RPM, T, and horsepower (HP), where the coefficient of determination (T2) was 0.71, 0.87, 0.70, and 0.92 for WOB, RPM, T, and HP, respectively. ROP also showed a strong function of mud fluid properties, where R2 was 0.70 and 0.70 for plastic viscosity (PV) and mud density, respectively. No clear relationship was observed between ROP and yield point (YP) for more than 500 field data points. The new model predicts the ROP with average absolute percentage error (AAPE) of 5% and correlation coefficient (R) of 0.93. In addition, the new model outperformed three existing ROP models. The novelty in this paper is the application of the clustering technique in which the formations are clustered based on their compressive strength range to predict the ROP. Clustering yielded accurate ROP prediction compared to the field ROP.

50 citations

Journal ArticleDOI
TL;DR: In this article, an artificial neural network (ANN) model to predict hydraulics was implemented through the fitting tool of matlab and the sensitivity analysis of input parameters on the created model was investigated by using forward regression method.
Abstract: Real-time drilling optimization improves drilling performance by providing early warnings in operation Mud hydraulics is a key aspect of drilling that can be optimized by access to real-time data. Different from the investigated references, reliable prediction of pump pressure provides an early warning of circulation problems, washout, lost circulation, underground blowout, and kicks. This will help the driller to make necessary corrections to mitigate potential problems. In this study, an artificial neural network (ANN) model to predict hydraulics was implemented through the fitting tool of matlab. Following the determination of the optimum model, the sensitivity analysis of input parameters on the created model was investigated by using forward regression method. Next, the remaining data from the selected well samples was applied for simulation to verify the quality of the developed model. The novelty is this paper is validation of computer models with actual field data collected from an operator in LA. The simulation result was promising as compared with collected field data. This model can accurately predict pump pressure versus depth in analogous formations. The result of this work shows the potential of the approach developed in this work based on NN models for predicting real-time drilling hydraulics.

50 citations

Journal ArticleDOI
TL;DR: Rain optimization algorithm (ROA) is a new metaheuristic algorithm that is inspired by the raindrops, which move toward minimum points after getting to the earth and it can be confidently used in optimization problems.

46 citations

Journal ArticleDOI
TL;DR: In this article, a new energy-based pore pressure prediction technique using the concept of hydro-rotary specific energy (HRSE) is presented, based on the principle that overpressure intervals with lower effective stress will require less energy to drill than the normally pressured intervals at the same depth.

35 citations

References
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Journal ArticleDOI
TL;DR: In this article, the authors studied the relationship between the specific energy required to excavate a unit volume of rock and the crushing strength of the medium drilled in, for rotary, percussive-rotary and roller-bit drilling.

741 citations

Journal ArticleDOI
TL;DR: In this article, a high power laser beam is applied on a rock, it can remove the rock by thermal spallation, melting, or vaporization depending on the applied laser energy and the way the energy is applied.
Abstract: Application of advanced high power laser technology to oil and gas well drilling has been attracting significant research interests recently among research institutes, petroleum industries, and universities. Potential laser or laser-aided oil and gas well drilling has many advantages over the conventional rotary drilling, such as high penetration rate, reduction or elimination of tripping, casing, and bit costs, and enhanced well control, perforating and side-tracking capabilities. The energy required to remove a unit volume of rock, namely the specific energy (SE), is a critical rock property data that can be used to determine both the technical and economic feasibility of laser oil and gas well drilling. When a high power laser beam is applied on a rock, it can remove the rock by thermal spallation, melting, or vaporization depending on the applied laser energy and the way the energy is applied. The most efficient rock removal mechanism would be the one that requires the minimum energy to remove a unit ...

92 citations

Journal ArticleDOI
TL;DR: In this paper, a new model of the drilling response of roller-cone bits is presented, where the effect of the bit geometry into a few parameters and on averaging the drilling quantities (W,T,V,Ω) over at least one revolution of a bit is investigated.
Abstract: This paper presents a new model of the drilling response of roller-cone bits. First, a set of relations between the weight-on-bit W, the torque-on-bit T, the rate of penetration V, and the angular velocity Ω is established in the spirit of the model developed for polycrystalline diamond compact (PDC) bits. In contrast to models that depend on a precise description of the bit, the drilling response is investigated by lumping the effect of the bit geometry into a few parameters and on averaging the drilling quantities (W,T,V,Ω) over at least one revolution of the bit. Within the framework of the model, quantitative information from drilling data related to rock properties, bit conditions, and drilling efficiency can be extracted. Finally, a series of laboratory tests at atmospheric pressure conducted with an in-house designed drilling rig, together with published experimental data, is used to evaluate the proposed model. The good match between the experimental results and the theoretical predictions are promising in regard to the potential use of this model to investigate the drilling response of roller-cone bits.

61 citations

Journal ArticleDOI
TL;DR: In this article, the authors proposed new methods to estimate both the rock strength and tooth wear while drilling with roller-bits and found that a parameter related to the axial energy and the rotary energy required to drill rock is effective to estimate the strength independent of the tooth wear.
Abstract: This paper proposes new methods to estimate both the rock strength and tooth wear while drilling with roller-bits. Laboratory drilling tests were conducted to obtain the penetration rate, bit weight and torque using milled-tooth bits with different tooth wear (TO, T4, T7). Drilling media used for the tests were soft to medium-hard rocks whose uniaxiul compressive strength ranged from 14 to 118 MPa. Based on the test results, a parameter, which presents the rock strength independent of the tooth wear, was first investigated. The investigation revealed that a parameter related to the axial energy and the rotary energy required to drill rock is effective to estimate the rock strength independent of the tooth wear. Second, methods to estimate the tooth wear were studied based on the same parameter that represents the rock strength. From the results of this study, methods to measure the tooth wear are proposed.

31 citations