Department of Geological Engineering

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About Department of Geological Engineering

Facts about Department of Geological Engineering

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Who works at the Department of Geological Engineering

Department of Geological Engineering has more than 23 academic staff members

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Dr. Giuma Hedwi Swei Belgasium

Giuma Belgasium is one of the staff members at the department of 7 faculty of 2. He is working as a since 2011-01-13. He teaches several subjects in his major and has several puplications in the field of his interest.


Some of publications in Department of Geological Engineering

Sedimentological and Petrophysical Characterization of Nubian Sandstone; of the Sarir Field, Sirte Basin

Abstract The Nubian Sandstone of Lawer Cretaceous Formation is located in Sarir Oil Field, in the Southeastern Sirte Basin in Libya. After conductiog 300 point counts on 24 thin sections from C4 -65&C3 -65. The deposition environment and diagenesis that affected the variability of porosity and permeability within a given lithologic unit. I found the Nubian Sandstone bodies of Sarir-C-North can also be divided on the basis of grian size and sedimentary structure into type: - 1) medium to coarse- grained sandstone 2) very fine grains sandstone. Association in the former lithologic, the siltstone and silty sandstone are grey and usually laminated; while in the latter they form white-grey or reddish siltstone and shaly siltstone beds, commonly intensively burrowed, and locally contain fragments of coal. A different depositional environment deposited each lithology. The Nubian Sandstone is interpreted to include several lithofacies deposited in fluvial environment. It informal these facies controlled both the primary porosity and diagenetic events. Peterophysical properties of formation under study were determined using different well logs. Porosities are calculated using sonic, neutron, and density logs. It is clear that the primary porosity in (well C3 -65) of formation represents dominant one and the secondary is (well C4- 65) of rare.
ليلي المبروك (2008)
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Classification, Enhancement And Stability Of Backfill And Embankment Case Study: Tajoura – Misurata

Abstract Normally the study and investigated of earth material from the view of their uses as embankment and backfill material has a great importance in earth woks. This research concerns the assessment of earth masses and their properties which related embankment and backfill suitability as well as providing a mixing methods to upgrade the unsuitable within the accepted standards. The objectives of this research could be briefed by the investigation of earth masses along the study area which is governed by the distribution of superficial deposits comprehensive laboratory testing of soil samples molding Andes properties classification testing proctor and California bearing ratio recognition of suit able and non suit able backfill soil enhancement of unsuitable soil by mixing with other suitable soil such as quarry dust provided by nearby quarry correlation analysis and economic feasibility the study area is located in east of Tripoli from Tajoura to Misurata . This study manly concluded that as long as the poorly graded soil (A3) is difficult to be compacted according to the engineering properties of such soil are enhanced certainly by mixing with good sailable materials such as quarry dust. This research also conduced that the compaction properties will be enhanced by mixing where the optimum moister content is needed at the increase of maximum dry density. This research provides procedure of mixing design and recommendations for the mixing to achieve better results.
عبد السلام محمد بحرون (2011)
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Approximations of Geomechanical Parameters and In-Situ Testing From Standard Penetration Test Results Correlation Study

Abstract Measurements of in-situ data for geomechanical parameters are very essential part of geotechnical engineering design, but the time and the budgets are major issues, The design engineer must make critical decisions at several steps throughout the design stages to obtain the most reliable and realistic soil and rock property information. Because of that, the empirical equations are increased in use during the early stages of engineering design work. In any geotechnical investigations, most probably, will be involved in using Standard Penetration Test (SPT). It is a very popular test among geotechnical engineers. Therefore, it will be economically very useful if the results of SPT as N-values could be used to calculate the other geomechanical parameters. The sites of investigation are the Zawia Combined Cycle Power Plant, West Mountain Power Plant at Rowies, Tripoli and Tunisa. The data were collected from 13 boreholes, and more than 160 points. Which gave wide reliable results. Field investigations include Cross-Hole, Down-Hole seismic techniques, Standard Penetration Test SPT, Cone Penetration Test CPT and pressuremeter test PMT. The variation of seismic waves velocity (Vs & Vp) and dynamic modulus (shear modulus, young modulus, and bulk modulus) of sand and weak rock were studied and some correlations were developed. Also the effects of depth on the correlations were investigated. The correlations compared with previous relationships. The results showed that the power function provides the best fit for correlation between seismic wave’s velocity and dynamic modulus data with SPT N-value. The correlation coefficient (r) range 0.77-0.54 for sand and for weak rock. Range is 0.82-0.58. The multiple power regression analysis enhanced the correlation coefficient of sand and weak rock to ranges 0.82-0.58 and 0.97-0.92 respectively. These results are higher than the previous results. A single value of geotechnical parameters is very difficult to determine because the properties of material vary from point to point in the way that, it depends on a set of conditions so geotechnical parameters (seismic waves velocity and dynamic modulus) were determined between an upper and lower limits. The results of statistical analysis of relationship between SPT N-value and Cone Penetration Test (tip resistance qc) for all available data show that a linear regression with zero intercept as best fit correlation. of r=0.77. This result is equivalent to previous work. The logarithmic regression gave the best fit for the correlation analysis between the pressuremeter modulus EPMT and N value by r=0.81. The relationship between the limit pressure PL and N value was shown that, the linear regression was the best fit. The best-fit regression indicated a logarithmic relationship between the pressuremeter modulus (EPMT) and limit pressure (PL), with r=0.81 and 0.66 respectively.
ملاك عبد اللطيف ابوعرقوب (2010)
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