Evaluation of Chromite Recovery from Shaking Table Tailings by Magnetic Separation Method

Khakmardan, Shayan; Doodran, Ramona Javadi; Shirazy, Adel; Ширази, Ареф; Mozaffari, Ezatollah

doi:10.4236/ojg.2020.1012055

Cited by 18 publications

(13 citation statements)

References 20 publications

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“…Permeability is one of the indicators that can be checked using remote sensing (Shirazi et al, 2018a, b, c, d, & e). It can also be used to study mineral processing (Doodran et al, 2020;Khakmardan et al, 2020;Shirazy et al, 2020a &b;Shirazy et al, 2021a & b).…”

Section: Introductionmentioning

confidence: 99%

Permeability Estimation From stoneley Waves in Carbonate Reservoirs

Khayer¹,

Shirazy²,

Ширази³

et al. 2021

Türkiye Jeoloji Bülteni / Geological Bulletin of Turkey

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Permeability is one of the petrophysical properties of oil and gas reservoirs and is defined as the ability of rock to transmit fluids through the porous media. After exploration of any reservoir, permeability information is necessary to optimize the well completion method, oil and gas production and field development. Permeability is determined by both direct and indirect methods. Direct methods are core analysis, well testing, and modular dynamic tester (MDT) and the indirect method is using well logging data such as nuclear magnetic resonance (NMR) and porosity. Determination of permeability from the Stoneley slowness is one of the indirect and continuous methods in the whole well-bore and has been chosen as the goal of this study. The result of this correlation has been plotted against other well logging data and there is a very good match between this result and other petrophysical properties. Due to the complex nature of permeability in carbonate reservoirs, most of the time there is not a good match between this parameter and other petrophysical properties. This study has been conducted on the data of a single well and correlation has been determined. The results show that in calculation of permeability from Stoneley waves, the effective parameters are porosity, lithology, Stoneley slowness and accuracy of the MDT tool. For more precise correlation in a reservoir or a specific geological area, more data from other wells or reservoirs are necessary.

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Section: Introductionmentioning

confidence: 99%

Permeability Estimation From stoneley Waves in Carbonate Reservoirs

Khayer¹,

Shirazy²,

Ширази³

et al. 2021

Türkiye Jeoloji Bülteni / Geological Bulletin of Turkey

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“…Lower residual values indicate a better prognosis. A good correlation coefficient is used to validate a good multivariate linear relationship [27][28][29]. In this study, SPSS 16 software was used to determine the unknown regression coefficients.…”

Section: Cu Estimate Using Spss Softwarementioning

confidence: 99%

Predict the amount of Cu using the four Ca, Al, P, S Elements by Multiple Linear Regression Method

Nazerian¹

2021

IJRASET

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The study area is located in Sarbisheh city in South Khorasan province, Iran. Copper estimation was performed by multivariate linear regression method to facilitate the use of previous analyses to predict this element in other areas, reduce costs and also reduce the number of samples. For this purpose, by obtaining a basic formula from estimating the amount of Cu with one of the promising points samples, the amount of copper in other parts of the exploration area was investigated. Several analyses were taken from the exploratory area after calculations to validate the regression. The regression results of new and old data were compared and estimation acceptable. These calculations were performed by SPSS software, according to the four elements Ca, Al, P, S, the results obtained and the relationship presented has acceptable validity. Keywords: Multivariate linear regression, Cu estimation, SPSS, Iran.

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“…One of these applications is using in carbonate reservoirs. One of the most important parameters in reservoir, is fluid saturation [14][15][16][17] which can be studied by geophysical methods and well-logging [18,19]. Several formulas are given for saturation calculation.…”

Section: Introductionmentioning

confidence: 99%

Determination of Archie’s Tortuosity Factor from Stoneley Waves in Carbonate Reservoirs

Khayer¹,

Shirazy²,

Ширази³

et al. 2021

IJSEA

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One of the fundamental equations in calculate the saturation of fluid in hydrocarbon reservoirs is the Archie’s equation. In addition to the parameters measured by well logging such as porosity and resistivity, there are others parameters that called Archie’s coefficients. Archie provides constant values for this coefficient base on experimental core’s data, accordance with saturation formula in sandstone. In carbonate reservoirs nevertheless the sandstone reservoirs, high heterogeneity, variety in lithology and texture, shape and distribution of pores, due to this coefficient is not constant. So, variation of tortuosity as a coefficient that depends on the way correlation between pores, is high and considering a constant value due to error in calculation of fluid saturation. In this study, with the stoneley waves measured from DSI tools and required calculation, the value of tortuosity coefficient calculated continuously in well no.10 Darkhovin field. The regression of calculated values with the core data is 83.16 percent, that showed this method is useable for calculation the tortuosity.

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Evaluation of Chromite Recovery from Shaking Table Tailings by Magnetic Separation Method

Cited by 18 publications

References 20 publications

Permeability Estimation From stoneley Waves in Carbonate Reservoirs

Permeability Estimation From stoneley Waves in Carbonate Reservoirs

Predict the amount of Cu using the four Ca, Al, P, S Elements by Multiple Linear Regression Method

Determination of Archie’s Tortuosity Factor from Stoneley Waves in Carbonate Reservoirs

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