The use of soft computing methods for the prediction of rock properties based on measurement while drilling data

Başarır, Hakan; Wesseloo, Johan; Karrech, Ali; Pasternak, Elena; Dyskin, Arcady

doi:10.36487/acg_rep/1704_36_basarir

Cited by 20 publications

(12 citation statements)

References 33 publications

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“…Parameters such as sound intensity level (dB) or vibration level (Nm/s) were also used to recognize rock mass features [13,14,[20][21][22][23][24][25], as well as the possibility of predicting the percentage of iron ore in the rock, based on the penetration rate and torque. Kahraman et al attempted to correlate rock properties with drilling progress [26], and showed the relationship between drilling penetration rate and rock resistance to uniaxial compression.…”

Section: Technological Methods Based On the Borehole Drilling Processmentioning

confidence: 99%

Identification of Rock Mass Critical Discontinuities While Borehole Drilling

et al. 2021

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Modern technologies need more mineral resources for energy generation, metallurgical products, chemicals, and many other uses. These resources are usually extracted from the Earth’s crust. Many engineering underground-space infrastructures are left after mining activity, with their very interesting features such as very large storage capacities (e.g., for hydrocarbons, hydrogen, radioactive, or other waste), and long-term geomechanical stability. Our original experiments were carried out in the conditions of an underground metal ore mine where typical mobile drilling rigs, additionally equipped with a set of sensors for recording signals as effects of rock–drill interaction were used for the research testing. A series of boreholes with diameters of Ø38 and lengths of up to 9 m in the rock medium were drilled in the “weak” and “strong” rock masses, and the frequency spectra of their signals were analyzed with the use of the fast Fourier transform (FFT) and short-time Fourier transform (STFT) algorithms. According to the proposed idealized theoretical model of the disturbance and the distinctive acceleration value of the drilling characteristic, the location of the critical discontinuities in the roof of the excavation were recognized. The most important advantage of the proposed method is the quantity and objective monitoring method for detection of a critical rock mass defect (discontinuity) that is significant for the potential functionality of underground workings as a potential energy storage room and their reinforcement.

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Section: Technological Methods Based On the Borehole Drilling Processmentioning

confidence: 99%

Identification of Rock Mass Critical Discontinuities While Borehole Drilling

et al. 2021

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“…In theory, various methods, including analytical, numerical, and experimental, can be used to analyze the applicability of MWD to the characterization of coalmine roofs [2][3][4][5][6][7][8]11,[15][16][17]. Analytical and numerical methods provide a straightforward means to understand the immediate effect of various geotechnical parameters on drilling and bolting operations.…”

Section: Methodsmentioning

confidence: 99%

“…The method was first developed for the petroleum exploration industry [2]. The literature has examples of laboratory experiments, field trials, and the development of instruments to monitor while drilling [2][3][4][5][6][7][8][9][10][11][12]. Reference [6] provided a brief review of recent improvements on instrumented drills used in ground characterization and highlighted issues that are still lagging in using these instruments.…”

Section: Mwd Historymentioning

confidence: 99%

Preliminary Investigation into Measurement While Drilling as a Means to Characterize the Coalmine Roof

et al. 2020

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The variable nature of the coalmine roof poses a challenge to roadway stability during underground coal mining. There have been fatalities and financial losses in the coal mining industry due to roadway failures and roof falls. Generally, the geotechnical and geological data gathered from exploration boreholes, which are drilled at considerable distances from each other, are used to characterize the thickness and quality (including strength) of the coalmine roof. This process provides a limited number of samples that cannot represent the discontinuous nature of the strata in the coalmine roof nor can they form reliable inputs to a digital model of the rock mass component of the digital mine. Gaining confidence in the strata properties of the coalmine roof is necessary for the modelling, design, and maintenance of roadways. The paper describes the progress of the ongoing work to investigate the monitoring while drilling (MWD) concept for characterizing coalmine roofs. Large-scale drilling experiments in synthesized sandwiched rock samples without interfaces were carried out. The drilling response data were analyzed to identify whether the drill data differentiates the various strengths associated with the rock samples. The initial results show that the drilling data can differentiate the synthesized rock samples.

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“…From the data analysis, it could observe that the corresponding PR for the applied thrust was most impacting the UCS, followed by thrust. The prediction of rock strength and geological conditions around and in the blasting area could be possible using measurement while drilling (MWD) data [5,15,21]. Using the various bits at a different angle of attack, an attempt was made to determine the cuttability of rocks [22].…”

Section: Literature Reviewmentioning

confidence: 99%

Experimental investigation on potential use of drilling parameters to quantify rock strength

Lakshminarayana¹,

Tripathi²,

Pal

2021

Geo-Engineering

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The uniaxial compressive strength (UCS) represents the strength of the rock. It frequently requires during the introductory phase of mining projects such as tunneling, rock excavation, blast hole designs, etc. Usually, the determination of UCS of rocks is carrying out in a concerned laboratory. The main drawback of determining the UCS in a laboratory requires at least five core samples of high-grade quality. Many problems and limitations are associated with removing the core, and also preparing the test specimen for UCS is tedious, time-consuming, and expensive. Therefore an attempt is made to develop an efficient indirect method to estimate the UCS of rocks without using the core samples. In this experimental investigation, the drilling response, such as thrust, is gathered by drill tool dynamometer considering the different drill operating parameters. The prediction model is developed with a regression technique using the measured thrust and calculated torque. The prediction capacity and validation of the model are carried out using the standard procedure. The experimental results show that the model could explain the variance in UCS up to 93.60%. RMSE and MAPE values in terms of percentage are 3.49% and 11.27%, respectively. Besides, the model's validation is checked for sandstone and limestone having the UCS 28 MPa and 35 MPa, respectively, and yielded the best prediction results with an error of 8.51% and 8.01% suggesting that the developed model could predict the UCS of sedimentary rock types within acceptable error limit, and reasonably. The correlation of UCS of rocks and drilling specific energy is also tested and found that linear relationship between them with an R2 value of 92.10%.

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The use of soft computing methods for the prediction of rock properties based on measurement while drilling data

Cited by 20 publications

References 33 publications

Identification of Rock Mass Critical Discontinuities While Borehole Drilling

Identification of Rock Mass Critical Discontinuities While Borehole Drilling

Preliminary Investigation into Measurement While Drilling as a Means to Characterize the Coalmine Roof

Experimental investigation on potential use of drilling parameters to quantify rock strength

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