2021-07-16T10:04:16Z https://geopersia.ut.ac.ir/?_action=export&rf=summon&issue=7540

2015-10-01 10.22059

Geopersia 2228-7817 2228-7817 2015 5 2 2015 10 01 1 3 https://geopersia.ut.ac.ir/article_56087_41c5382a326c91c8aedfa8fb6cd42f80.pdf

2015-10-01 10.22059

Geopersia 2228-7817 2228-7817 2015 5 2 Mehdi Reza Poursoltani Georgia Pe-Piper Middle Jurassic fluvio-deltaic and turbiditic mudstones of the Kashafrud Formation, are important hydrocarbon sources in the gas-rich Kopet-Dagh Basin, northeast Iran. Clay mineral assemblages are important for interpretation of sediment provenance and for understanding burial diagenetic cementation in sandstones. The clay mineral assemblages in mudrocks in two areas, Saleh-Abad and Senjedak, were investigated by X-ray diffraction analysis. A total of 28 bulk samples (14 each section) were analysed and from 11 of these samples the burial diagenesis Clay minerals Middle Jurassic Kopet-Dagh basin Iran 2015 10 01 93 109 https://geopersia.ut.ac.ir/article_56088_1d6c6948e94967b602be9e024a5d1558.pdf

2015-10-01 10.22059

Geopersia 2228-7817 2228-7817 2015 5 2 Hassan Mohseni Moosa Esfandyari Elham Habibi Asl Lithofacies identification can provide qualitative information about rocks. It can also explain rock textures which are importantcomponents for hydrocarbon reservoir description Sarvak Formation is an important reservoir which is being studied in the Marun oilfield, in the Dezful embayment (Zagros basin). This study establishes quantitative relationships between digital well logs data androutine petrographic data, obtained from thin sections description. Attempts were made to predict lithofacies in 13 wells, all drilled inthe Marun oil field. Seven well logs, namely, Gamma Ray (SGR and CGR), Deep Resistivity (RD), Formation Density (RHOB),Neutron Porosity (PHIN), Sonic log (DT), and photoelectric factor (PEF) as input data and thin section/core-derived lithofacies wereused as target data in the ANN (artificial neural network) to predict lithofacies. The results show a strong correlation between the givendata and those obtained from ANN (R²= 95%). The performance of the model has been measured by the Mean Squared Error functionwhich doesn't exceed 0.303. Hence, neural network techniques are recommended for those reservoirs in which facies geometry anddistribution are key factors controlling the heterogeneity and distribution of rock properties. Undoubtedly, this approach can reduceuncertainty and save plenty of time and cost for the oil industry. Sarvak Formation Artificial Neural Networks Reservoir Characterization Lithofacies Zagros basin 2015 10 01 111 123 https://geopersia.ut.ac.ir/article_56089_1dfe9f3ecdbc56e9b1876321eae020d7.pdf

2015-10-01 10.22059

Geopersia 2228-7817 2228-7817 2015 5 2 Mazaher Yavari Mehdi Yazdi Hormoz Gahalavand Mohammad Hossein Adabi The investigated section cropping out in Kuh-e-Banesh, Zagros basin (southern Iran) is represented by limestone, Cherty beds and marllevels bearing abundant Planktonic foraminifers, radiolarian microfaunas, and ammonite imprints. For the first time, well to moderatelypreserved forms of Planktonic foraminifera have been extracted from black shale and marls levels. Extracted biota was studied withregard to relationship with abundances of radiolarian and total organic carbon. Rock Eval analysis shows high total organic carboncontent within Daryian Formation (lower part). The presence of high abundances of planktonic foraminifers and radiolarian associatedwith high total organic carbon content in the lower part of the Dariyan Formation suggest a high productivity event, eutrophication,and warming phenomena of the ocean during early Cretaceous. Biostratigraphical ranges of planktonic foraminifera in the studiedsection indicate Early Aptian to early Late Aptian age. It is, therefore, implicated that the oceanic anoxic event 1a (OAE 1a) interval beregarded as equivalent levels in Tethys domains. The black shale of oceanic anoxic event is characterized by the widespread existenceof regionally organic-rich beds in the Tethys basins. Micro-paleontological and geochemical results provide new insights into thepaleogeography of the Tethys realm and better correlation with well-studied worldwide successions. Aptian Dariyan Formation Iran Planktonic Foraminifera Total Organic Carbon 2015 10 01 125 137 https://geopersia.ut.ac.ir/article_56090_b8e268042b84a2ef17a91e3a60ac19c8.pdf

2015-10-01 10.22059

Geopersia 2228-7817 2228-7817 2015 5 2 Iman Zahmatkesh Ghasem Aghli Ruhangiz Mohammadian Fractures are considered as one of the important structures in fractured reservoirs due to their effect on fluid currents and reservoirparameters such as porosity and permeability. Fracture parameters can only be directly calculated with core and image logs. Cores haveserious limitations, so image logs are the best method. The aim of this study is the systematic fractures analysis of the AsmariFormation in the Marun field as one of the giant oilfields in world. The main objectives of image logs were evaluating structural dip,characterizing natural fractures and field structure heterogeneity, and finally correlating the results with complimentary methods suchas Velocity Deviation Log (VDL), Repeat Formation Test (RFT), mud lost data, and isodip map in the carbonate Asmari Formation.Generally, electric and ultrasonic imaging tools record vast amounts of high-resolution data. This enables geoscientists to describe indetail the structural fracture networks. The results indicate that the highest fracture density is in the zones 1, 20, and 30 of the Asmarireservoir that show high correlation with VDL and mud lost data. Image logs also show a range of bedding dips from 20˚ in thenorthern limb to 30˚ in the southern limb with strikes ranging from 10˚ to 270˚N. Regarding the general pattern of fractures, it isevident that they are related to the folding and are classified mainly as longitudinal, transverse, and oblique. The longitudinal pattern isdominant and often forms open fractures. They are characterized by N50W-S50E and mainly observed in the upper Asmari zones.Moreover, to find the vertical relation of the layer and fractures, RFT data were used. The findings revealed the presence of a verticalrelation in the upper horizons of the reservoir, especially in the eastern section due to the high fracture density. Asmari Reservoir Complimentary Methods Fracture Analysis Image logs Marun Oilfield 2015 10 01 139 150 https://geopersia.ut.ac.ir/article_56091_6283884cd94004358affc24e3b7f2d4d.pdf

2015-10-01 10.22059

Geopersia 2228-7817 2228-7817 2015 5 2 Elham Karami Haji Karimi Mohsen Tavakoli Gholamreza Banparvari This research investigates the changes of soil properties in Dasht-e Abbas plain due to the Karkheh water transfer to this plain. In thisstudy, the maps of groundwater level changes before and after the utilization of irrigation system were prepared. Furthermore, toinvestigate the changes of soil characteristics, soil samples were collected from various project implantations and control areas andtheir parameters were determined and compared. The results showed that the groundwater level has been increased more than 15meters during the study period and the depth of groundwater in some areas reached to less than 5 meters. The results indicated that thehighest salinity belonged to the network coverage areas and evaporating zone having a saturation extract electrical conductivity of10.62 and 9.26 ds/m respectively, while dry land areas have the lowest salinity with electrical conductivity of 0.8- 4.0 ds/m. The resultsfurther demonstrated that the water transfer of Karkheh Dam to Dasht-e Abbas due to the absence of drainage in 3 and 4 sub-networks,high volume of agricultural return water from flood irrigation, and inadequate development of groundwater exploitation has reducedthe quality of soil in marsh area and flooding lands, and generally a "desertification" process after "combat to desertification" hasoccurred Dasht-e Abbas Physical and Chemical Properties of Soil Water Level Change Water Transfer 2015 10 01 151 160 https://geopersia.ut.ac.ir/article_56092_caf8a420795ef65115561ac3f5d1c6d0.pdf

2015-10-01 10.22059

Geopersia 2228-7817 2228-7817 2015 5 2 Sayed Alireza Nasehi Ali Uromeihy Ali Morsali Mohammad Reza Nikudel In recent years, the nanoscale zero-valent iron (NZVI) particles have been used successfully for the degradation of hydrocarboncompounds and remediation of other pollutants. Nevertheless, as far as we know, there is no specific study on the improvement of thegeotechnical properties of contaminated soils with hydrocarbon compounds by NZVI. This study used NZVI particles to remove gasoil in a clayey soil and determined the effects of NZVI on Atterberg limits, compaction properties, and shear strength parameters of thesoil. In order to determine the optimal reaction time and NZVI dosage, the total organic carbon (TOC) of a contaminated soil with 9%of gas oil was measured. The experimental data showed that the optimum reaction time and NZVI dosage were 24 days and 5%,respectively. Then, the contaminated samples were prepared by mixing the soil with gas oil in the amount of 0, 3, 6, and 9% by dryweight. The results showed a decrease in the friction angle (φ) and an increase in the cohesion (C). Maximum dry density and optimummoisture content of the soil decreased due to the contamination. In addition, an increase in liquid limit (LL) and plastic limit (PL) wereobserved. Finally, all contaminated specimens were mixed with 5% of NZVI. After 24 days, an increase was seen in the friction angle,cohesion, maximum dry density, and optimum water content. LL and PL of the soil decreased after the treatment clay Contamination Gas Oil Nanoscale Zero-Valent Iron NZVI Shear Strength Parameters 2015 10 01 161 175 https://geopersia.ut.ac.ir/article_56093_9714e4880718952a7719c108ef4daa0d.pdf

2015-10-01 10.22059

Geopersia 2228-7817 2228-7817 2015 5 2 Mohammad Hossein Ghobadi Sajeddin Mousavi Mojtaba Heidari Behrouz Rafie This study investigates the correlations among the tensile strength, mineral composition, and textural features of twenty-ninesandstones from Kouzestan province. The regression analyses as well as artificial neural network (ANN) are also applied to evaluatethe correlations. The results of simple regression analyses show no correlation between mineralogical features and tensile strength.However, the tensile strength of the sandstone was decreased by cement content reduction. Among the textural features, the packingproximity, packing density, and floating contact as well as sutured contact are the most effective indices. Meanwhile, the stepwiseregression analyses reveal that the tensile strength of the sandstones strongly depends on packing density, sutured contact, and cementcontent. However, in artificial neural network, the key petrographical parameters influencing the tensile strength of the sandstones arepacking proximity, packing density, sutured contact and floating contact, concave-convex contact, grain contact percentage, andcement content. Also, the R-square obtained ANN is higher than that observed for the stepwise regression analyses. Based on theresults, ANN were more precise than the conventional statistical approaches for predicting the tensile strength of these sandstones fromtheir petrographical characteristics. Artificial Neural Network Petrographical Features regression analysis Sandstone Tensile Strength 2015 10 01 177 187 https://geopersia.ut.ac.ir/article_56094_86533108a778934413c2173556827460.pdf

2015-10-01 10.22059

Geopersia 2228-7817 2228-7817 2015 5 2 Nader Taghipour Zahra Soleimani Marshk The Olang area is a part of Gheshlagh-Olang synclinal, which is a member of eastern Alborz coal basin and is situated at a distance of70 km northeast of Shahroud city. Coal-bearing strata of this region are part of the Shemshak group (Upper Triassic to Lower Jurassic).Samples from the 9 coal seams of the Olang coal deposits were collected and ashed. The aim of this study is to determine theoccurrence and distribution of major and trace elements in the coal ashes of Upper Triassic Olang coal deposits in northeastern Iran.The concentration of the elements in the coal ashes of the Olang region is higher than the Clarke value and the average of World coalash. The coal ashes have been enriched in Zn, Mn, and P in comparison with the average of the World coal ash. The correlationcoefficient analysis on the major and trace elements in the ash yielded in four groups including: A (Rb, K, Cs, Si), B (Al), C (Tl, Ca,Nb, Ta, V) and D (Cr, Hf, Sn, Zr, Th, Zn, Ti, Ba, W, Mg, Na, P, Sr, Co, Cu, Mo, Ni, U, Fe, Ca). The first two groups are stronglycorrelated with ash yield and mainly have an inorganic affinity. C and D groups are negatively or less strongly correlated with ashyield. The rare earth elements' abundances are negatively correlated with the ash yield and exhibit an organic affinity. Based oncorrelation, cluster analyses, and rare earth elements' distribution characteristics, two separate modes of occurrence can be consideredfor rare earth elements: 1) Accompanying phosphate minerals with organic origin (phosphorites) or phosphate organic materials, and 2)Accompanying the vitrinite maceral group. Coal Geochemistry Iran Olang 2015 10 01 189 204 https://geopersia.ut.ac.ir/article_56095_eee4b2c13276c8d279c5de1442550eea.pdf

2015-10-01 10.22059

Geopersia 2228-7817 2228-7817 2015 5 2 2015 10 01 1 4 https://geopersia.ut.ac.ir/article_56158_cdf77de951b348cbfc5fd40517847bf0.pdf