prediction of unconfined compressive strength of carbonate

Int J Rock Mech Min Sci Geom 9(6):241–246 Ceryan N, Okkan U, Kesimal A (2012) Prediction of unconfined compressive strength of carbonate rocks using artificial neural Summary and …

Unconfined compressive strength (UCS) of rock is a key parameter in drilling and stimulation of oil and gas wells such as wellbore stability and fracturing operations.

Jun 01, 2016· The aim was to predict the uniaxial compressive strength (UCS) and modulus of elasticity (E) of carbonate rocks. ANN and MVRA were employed in order to find suitable equations for the prediction of UCS and E from easily determinable parameters like Porosity, Density, P-wave velocity, Poisson's ratio and Point load index.

Unconfined Compressive Strength Log (UCSL) is a representation of the apparent rock strength in a particular well or section, derived from the actual historical drilling data. To calculate the rock strength with the ROP models, as described above, drilling data, …

Mar 30, 2017· The determination of the mixture parameters of stabilization has become a great concern in geotechnical applications. This paper presents an effort about the application of artificial intelligence (AI) techniques including radial basis neural network (RBNN), multi-layer perceptrons (MLP), generalized regression neural network (GRNN) and adaptive neuro-fuzzy inference system (ANFIS) in order to ...

Conventionally, many researchers have used both regression and black box techniques to estimate the unconfined compressive strength (UCS) of different rocks. The advantage of the regression approach is that it can be used to render a functional relationship between the predictive rock indices and its UCS. The advantage of the black box techniques is in rendering more accurate predictions.

Jul 10, 2014· Ceryan N, Okkan U, Kesimal A (2012) Prediction of unconfined compressive strength of carbonate rocks using artificial neural networks. Environ Earth Sci 68(3):807–819. Article Google Scholar Cobanglu I, Celik S (2008) Estimation of uniaxial compressive strength from point load strength, Schmidt hardness and P-wave velocity.

Meulenkamp F, Alvarez Grima M (1999) Application of neural Fig. 11 Strengths of relationship (rij) between the UCS and input networks for the prediction of the unconfined compressive strength parameters (UCS) from Equotip hardness. Int J Rock Mech Min Sci 36:29–39

Oct 31, 2012· Application of Generalized Regression Neural Networks in Predicting the Unconfined Compressive Strength of Carbonate Rocks November 2012 …

PREDICTION OF UNIAXIAL COMPRESSIVE STRENGTH OF CARBONATE ROCKS AND CEMENT … . 369 Fig. 2 Mortar and carbonate rocks samples. Table 1 Locations and geological characteristics of carbonate rock samples. Samples Location Petrographic descriptions 1-5 Sidi-Bouzid Dolomite with algal laminations 6-10 Jebel Matous Bioclastic,fine-grained limestones

Zeeshan Tariq, Abdulazeez Abdulraheem, Mohamed Mahmoud, Salaheldin Elkatatny, Abdulwahab Z. Ali, Dhafer Al-Shehri, Mandefro W. A. Belayneh; A new look into the prediction of static Young's modulus and unconfined compressive strength of carbonate using artificial intelligence tools.

DOI: 10.4018/978-1-5225-2709-1.CH002 Corpus ID: 136015635. Prediction of The Uniaxial Compressive Strength of Rocks Materials @inproceedings{Ceryan2018PredictionOT, title={Prediction of The Uniaxial Compressive Strength of Rocks Materials}, author={Nurcihan Ceryan and N.

Uniaxial Compressive Strength (UCS) and Modulus of elasticity (E) of carbonate rocks are very critical properties in petroleum, mining and civil industries. UCS is the measure of the strength of the rock and E depicts the stiffness, together they control the deformational behavior. But the heterogeneity introduced as a result of fractures, dissolution and dependency on pH and temperature makes ...

Oct 07, 2021· Choobbasti et al. 37 investigated unconfined compressive strength test of soft clay in a construction site reinforced with nano calcium carbonate and …

Abstract Uniaxial Compressive Strength (UCS) and Modulus of elasticity ( E ) of carbonate rocks are very critical properties in petroleum, mining and civil industries. UCS is the measure of the strength of the rock and E depicts the stiffness, together they control the deformational behavior. But the heterogeneity introduced as a result of fractures, dissolution and dependency on pH and ...

Estimation of Unconfined Compressive Strength (UCS) of Carbonate Rocks by Index Mechanical Tests and Specimen Size Properties: Central Alborz Zone of …

Prediction of unconfined compressive strength of cement paste containing industrial wastes Waste Manag. 2003;23(4):321-32. doi: 10.1016/S0956-053X(02)00062-4. Authors J A Stegemann 1, N R Buenfeld. Affiliation 1 Department of Engineering Science ...

Prediction of unconfined compressive strength of carbonate rocks using artificial neural networks. February 2012; ... The mechanical strength of carbonate rocks such as.

Unconfined compressive strength (UCS) is the main utilized parameter for designing the mining, civil, and geotechnical structures as well as the infrastructure projects. Indeed, the stability analysis of these structures is conducted based on both the intact rock and rock mass geomechanical properties

ORIGINAL ARTICLE Prediction of unconfined compressive strength of carbonate rocks using artificial neural networks Nurcihan Ceryan • Umut Okkan • Ayhan Kesimal Received: 7 August 2011 ...

Nov 23, 2015· Unconfined compressive strength (UCS) of rocks is a crucial parameter in designing geotechnical structures. Owing to difficulties in obtaining proper samples for UCS test as well as the point that conducting UCS is relatively expensive, the use of indirect methods for UCS estimation has drawn considerable attentions. This review paper is aimed to briefly highlight different proposed predictive ...

Jul 10, 2020· Measurement of the unconfined compressive strength (UCS) of the rock is critical to assess the quality of the rock mass ahead of a tunnel face. In this study, extensive field studies have been conducted along 3,885 m of the new Nagasaki tunnel in Japan. To predict UCS, a hybrid model of artificial neural network (ANN) based on genetic algorithm (GA) optimization was developed.

Jan 26, 2016· Conventionally, many researchers have used both regression and black box techniques to estimate the unconfined compressive strength (UCS) of different rocks. The advantage of the regression approach is that it can be used to render a functional relationship between the predictive rock indices and its UCS. The advantage of the black box techniques is in rendering more accurate …

Prediction of Carbonate Aggregates Properties Through Physical Tests. ... (50)), Schmidt rebound hammer value (SHR) and unconfined compressive strength (UCS) of the rocks. For all the data, strong ...

The unconfined compressive strength (UCS) of intact rocks is an important geotechnical parameter for engineering applications. Determining UCS using standard laboratory tests is a difficult, expensive and time consuming task. This is particularly true for thinly bedded, highly fractured, foliated, highly porous and …

Jan 01, 2015· 1. Introduction. Unconfined compressive strength (UCS) determination of rocks plays a significant role in the analysis of geotechnical problems such as dam and tunnel design, drilling and mechanical rock excavation .The UCS of the rock is determined directly by testing the compressive behavior of the rock specimens under axial load in the laboratory.

A new look into the prediction of static Young's modulus and unconfined compressive strength of carbonate using artificial intelligence tools Zeeshan Tariq, Abdulazeez Abdulraheem, Mohamed Mahmoud, Salaheldin Elkatatny, Abdulwahab Z. Ali, Dhafer Al-Shehri and Mandefro W. A. Belayneh

Sep 17, 2021· Using unconfined compressive strength (UCS) tests, carbonization depth, X-ray diffraction, and scanning electron microscopy, the sample's characteristics are investigated under different carbonization times and heavy metal ion concentrations.

Yagzi, S., Sezer, E. A., Gokceoglu, C. 2012. Artificial Neural Networks and Non-linear Regression Techniques to Assess the Influence of Slake Durability Cycles on the Prediction of Unconfined Compressive Strength and Modulus of Elasticity for Carbonate Rocks. International Journal for Numerical and Analytical Methods in Geomechanics. Vol. 36.

Oct 19, 2020· Unconfined compressive strength (UCS) equally represented as geomechanical strength remains a critical mechanical property in the successful implementation of key technologies for shale gas reservoirs' development and production. Attention has been less concentrated on prediction models' development for shale geomechanical strength evaluation.