Series-3 (Jan – Feb 2020)Jan – Feb 2020 Issue Statistics
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Abstract: The constituent budget of Njaba River at Okwudor was undertaken to understand the loading rate of constituents over a period of time (2011-2019). Water samples were obtained at equal distances of 2 km along the stretch of the River. The samples were obtained with the aid of sterilized 1.5 plastic bottle; the sample bottles were corked under water immediately after collection so as to prevent oxidation of the constituents. The water samples obtained from Okwudor was used to probe some physiochemical parameters and constituent budget of Njaba River over a period of eight years (2011 – 2019). The result indicates the pH of the River with values of 6.40 in 2011 and 6.44.......
Keywords: Constituents Budget, Biocarbonate, Chlorine, Okwudor and Njaba
[1]. Ahiarakwem, C. A. &Onyekuru, S. O. (2011) A Comparative Assessment of the Phsico -Chemical and Microbial trends in Njaba River, Niger Delta Basin, Southeastern Nigeria. Journ. of Water Resources and Protection, 3(9):686-693.
[2]. Ananaba, S.E., Onu, N.N. &Iwuagwu, C.J. (1993), Geophysical study of the gravel deposit in Ihiagwa,, Owerri, Nigeria. Journal of Mining Geology, 29(2):95-100.
[3]. Das, J. & Acharya, B.C. (2003). Hydrology and assessment of lotic water quality in Cuttack city, India. Water Air Soil Pollut. 150, 163-175. [4]. Horton, R. K. (1965)An Index Number System for Rating Water Quality, Journal of the Water Pollution Control Federation, 37 (3):300-306; 1965.
[5]. Karbassi, A. R. &Pazoki, M. (2015). Environmental Qualitative assessment of rivers sediments. Global J. Env. Sci. Manag. 1(2):109-116.
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Abstract: The Old Brahmaputra is a tributary of the Brahmaputra River that finally falls into the mighty Meghna River at Bhairab Bazar, Bangladesh. The morphology of this river indicates that it is a meandering river. The sedimentary sequences are composed of alternate beds sands and clay. The coarser sand beds were deposited at high energy condition of the river. The present study reveals that Fm, Sh and Sp facies constitute the lithological succession of the study area. The massive clays with peds were formed in the backswamp when the depositional basin became shallow and lost its energy. Textural studies of the sand samples exposed along the left bank of the Old Brahmaputra near Mymensingh town shows that the graphic mean sizes vary from 3.41 to 3.50ɸ, very fine sand. The sediments are well sorted that indicates the marine transgression of the Bengal Basin at the time of deposition. The sands are strongly coarsely skewed. The scatter plots of the deposits decipher that they deposited either in river or beach environments.....
Keywords: Old Brahmaputra, sand, well sorted, river, beach.
[1]. Afroza R, Mazumder QH, Jahan CS, Kazi MAI, Ahsan MA, Al-Mansur MA (2009) Hydrochemistry and Origin of Salinity in Groundwater in parts of Lower Tista Floodplain, Northwest Bangladesh. Journal Geological Society of India 74: 223-232.
[2]. Ashley, G.M., 1990 Classification of large scale subaqueous bedforms: a new look at an old problem: Journal Sed. Petrol., v. 60(1), pp. 160-172.
[3]. Friedman, G.M. (1967) Dynamic process and statistical parameters compared for size frequency distribution of beach and river sand. Jour. Sed. Petrology, 37, pp. 327-354.
[4]. Harms J.C., Southard B. and Walker R.G., 1982 Structure and sequence in clastic rocks: SEPM Short course-9 p. 250.
[5]. Miall A. D., 1985 Architectural-element analysis: a new method of facies analysis applied to fluvial deposits: Earth Science Reviews, v. 22(4), pp. 261-308.
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Abstract: Elastic Geomechanical properties are key elemental properties that must be adequately predicted for wellbore stability and effective hydraulic fracturing to be assured. Understanding these properties is key for planning drilling, production and reservoir management. This research analyses elasticGeomechanical properties predicted by seismic and well log data in "AJAH" Field offshore Niger Delta using Artificial Neural Network. Analysis of well logs (5 wells) shows that the Poisson's ratio (V), Shear modulus (G), Young's modulus (E), Bulk modulus (K), Compressibility (β) and Unconfined compressional strength (UCS) range from 0.11- 0.47, 0.15 – 8.5˟ 1010pa, 0.15 –14.3 ˟y....
Key words: Elastic geomechanicalProperties, ANN, well logs, Seismic data, wellbore stability
[1]. Erling F, Rune MH, Per H, and Arne MR. Petroleum related rock mechanics, Elsevier Science B.V 1996.
[2]. AbijahFA and Tse AC. Geomechanical Evaluation of an onshore oil field in the Niger Delta, Nigeria IOSR Journal of Applied Geology and Geophysics 2016, 4 (1):99-111.
[3]. OkotieS. and Ichenwo J. Comparative Study of Rock Strength and Petrophysical Properties Derived from Core and Log Data. International Journal of Current Engineering and Technology 2015, 2347 – 5161.
[4]. Gray FD. Elastic Inversion for Lame Parameters. CSEG 2002 National Convention Expanded Abstracts 2002.
[5]. PayneSS, and MeyerJ. Using Seismic Inversion to Predict Geomechanical Well Behavior: A Case Study from the Permian Basin. Proceedings of the 5th Unconventional Resources Technology Conference. 2017.
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Abstract: The development of high temperature geothermal systems in Kenya is partly due to the occurrence of shallow magma bodies under volcanoes in the axis of the rift. Drilling of geothermal wells presents a critical development activity of a geothermal project. However, drilling activityfaces numerous challenges which negatively affect drilling rates. The drilling costs are increased since drilling operations are run on tight schedules and any delays come at a high cost. Some of the most common drilling problems can be attributed to lithology and stratigraphy of the formations. This research assessed the effect of lithological characteristics and structural attributes on the drilling rate at Olkaria geothermal field. The study investigated the joint effect of lithostratigraphy, geological structures and hydrothermal alterations on the drilling rate usingwells OW 724B and OW 45V as case study. These wells experienced drilling challenges caused by severe formation problems leading to high non-productive.....
Key Word:Olkaria geothermal field, Lithostratigraphy, rock secondary structures, hydrothermal alterations, drilling rate.
[1]. Bertani, R. (2016). Geothermal power generation in the world 2010–2014 update report. Geothermics, 60, 31-43.
[2]. Fobi, S., Deshpande, V., Ondiek, S., Modi, V., andTaneja, J. (2018). A longitudinal study of electricity consumption growth in Kenya. Energy Policy, 123, 569-578.
[3]. Kandie, R. J. (2018). Borehole geology and thermal history of well OW-737, Olkaria geothermal field, Kenya. Geothermal Training in Iceland, 14, 187-220.
[4]. Karanja, N., andWagumba, T., (2015). Challenges of Cementing Olkaria Geothermal Field. GRC Transactions, 39, 185-190.
[5]. Kiplagat, J. K., Wang, R. Z., and Li, T. X. (2011). Renewable energy in Kenya: Resource potential and status of exploitation. Renewable and Sustainable Energy Reviews, 15(6), 2960-2973..
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Abstract: Deterministic hydrocarbon volume estimation is applied to predict hydrocarbon volume initially in place in Fuba Field Onshore Niger Delta, Nigeria using Well-log and seismic data. Well-to-seismic-ties, faults and horizon mapping, time surface generation, velocity modelling and depth conversion were carried out using Petrel software while uncertainty analysis was carried out using Crystal Ball Monte Carlo simulation software. The reserves estimated using the deterministic approach were 18.52MMSTB,13.59MMSTB, 9.40MMSTB, for the high, base and low cases of reservoir A while that of reservoir I was 25.56MMSTB, 14.59MMSTB and 7.63MMSTB for the high, base and low cases showing that there is a significant difference between the high, low and base case volumes......
Keywords: Hydrocarbon,Deterministic, Volumetric Estimation, Reservoir, Niger Delta, Nigeria
[1]. Adegoke, O. S., Oyebamiji, A. S., Edet, J. J., Osterloff, P. L. & Ulu, O. K. (2017). Cenozoic foraminifera and calcareous nannofossil biostratigraphy of the Niger Delta. Cathleen Sether, United States, 570.
[2]. Cooke, D. &Cant, J. (2010). Model-based Seismic Inversion: Comparing deterministic and probabilistic approaches. Recorder, Canada. 35 (4), 28-39.
[3]. Floris, J.T.F. &Peersmann, R.H.E.M. (2011). Uncertainty estimation in volumetrics for supporting hydrocarbon E&P decision making. Netherlands Institute of Applied Geoscience TNO
[4]. Horsfall O.I., Uko E.D., Tamunoberetonari I. &Omubo-Pepple V. B. (2017). Rock-Physics and Seismic-Inversion Based Reservoir Characterization of AKOS FIELD, Coastal Swamp Depobelt, Niger Delta, Nigeria. IOSR Journal of Applied Geology and Geophysics, 5(4), 59-67.
[5]. Jordan D.G. &Collarini C.R. (1999). Deterministic Versus Probabilistic Volume Estimates for Reservoirs Without a Known Downdip Limit. SPE Hydrocarbon Economics and Evaluation Symposium, Dallas, Texas, 21-23 March. Society of Petroleum Engineers.
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Abstract: This days land subsidence activities have been increasing rapidly in Malaysia. Land subsidence is now one of the serious threats to the country which is caused by excessive withdrawal of ground water and extraction of ground resources along with the rapid development of infrastructures of cities and urban areas. Ground subsidence is define as the differential sinking of the Earth's surface with respect to terrain that surrounded the surface area. It is due to the extraction of ground resources and presence of voids in the subsurface generated either naturally or by human activities. This study aims to detect and measure the ground movement in SeberangPerai using active remote sensing and geophysical approach. RADAR interferometry (InSAR) is a remote sensing technique which measures the minute changes in ground movement to millimetre scale. Persistent Scatter (PS) and Minimum Spanning Tree (MST) interferometry stacking techniques were applied to Sentinel-1A data.....
Keywords: Interferometric synthetic aperture radar, Persistent Scatter Minimum Spanning Tree, Resistivity and subsidence
[1]. Qin, Y., & Perissin, D. (2015). Monitoring ground subsidence in Hong Kong via spaceborne Radar: Experiments and validation. Remote Sensing, 7(8), 10715-10736.
[2]. Amin, A., & Bankher, K. (1997). Causes of land subsidence in the Kingdom of Saudi Arabia. Natural hazards, 16(1), 57-63.
[3]. Zhou, X., Chang, N.-B., & Li, S. (2009). Applications of SAR interferometry in earth and environmental science research. Sensors, 9(3), 1876-1912
[4]. Dong, S., Samsonov, S., Yin, H., Ye, S., & Cao, Y. (2014). Time-series analysis of subsidence associated with rapid urbanization in Shanghai, China measured with SBAS InSAR method. Environmental earth sciences, 72(3), 677-691.
[5]. Tan, K. C., San Lim, H., MatJafri, M. Z., & Abdullah, K. (2010). Landsat data to evaluate urban expansion and determine land use/land cover changes in Penang Island, Malaysia. Environmental earth sciences, 60(7), 1509-1521
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Abstract: Résumé : Contexte : L'orpaillage pollue les ressources hydriques et de ce fait menace la santé des populations
de Kouaméfla (Oumé) où il est en plein essor. Cette étude a pour objectif de montrer l'influence de l'orpaillage
sur la qualité des eaux à travers l'expression des paramètres physiques et du mercure vis-à-vis de la potabilité
et de la toxicité.
Matériels et Méthodes :La trame linéamentaire fut réalisée à partir du recensement des anomalies du drainage,
couplé à un Modèle Numérique d'Altitude (MNA). Les blocs hydrogéologiques ainsi délimités ont orienté le
choix les points d'échantillonnage d'une part au sein des blocs qui sont affectés par l'orpaillage, et d'autre
part de prélever des échantillons témoins. Le potentiel d'Hydrogène (pH), la température, la Conductivité
Electrique (CE) et les Solides.....
Keywords:Ressources hydriques, Trame linéamentaire, MNA, Potabilité, Toxicité, ACPCN, Plans factoriels
[1]. Affessi A, Koffi G, Sangaré M. Impacts sociaux et environnementaux de l'orpaillage sur les populations de la région duBounkani
(cote d'ivoire). European Scientific Journal. 2016; 12(9): 9-10
[2]. Diallo P, Baudouin Y, et Raymond M. Modélisation de la dynamique des systèmes socio-écologiques en vue de l'élaboration d'un
cadre de référence pour la durabilité environnementale et territoriale : Application au massif du Fouta Djalon (Guinée). Revue
européenne de géographie (Systems, Modelling, Geostatistics), 2016; 185: 12-14
[3]. Coulibaly I, Kouamelan A N, Djro S C et Coulibaly Y.Pétrographie des Volcanites et plutonites de la partie Sud du sillon volcanosédimentaire
de Toumodi-Fetekro (Côte D'ivoire). European Scientific Journal 2017 ; 13 (10) : 199-221
[4]. Strahler N.Quantitative geomorphology, Encyclopedia of Geomorphology. R. W FAIRBRIDGE _ Reinhold Book Corp. New
York.1967;(3) : 225-248
[5]. Biémi J. Contribution à l'étude géologique, hydrologique et par télédétection des bassins versants subsaharien du socle précambrien
d'Afrique de l'Ouest : Hydrostructurale, hydrodynamique, hydrochimie et isotopie des aquifères discontinus de sillons et aire.
Thèse de doctorat d'Etat ès Sciences Naturelles, Université Nationale de Côte d'Ivoire. 1992
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Abstract: In this study, the ambient seismic noise cross-correlation technique is applied to estimate the
thickness of the sedimentary column and crustal structureof southern Iraq. Continuous data from three seismic
broadband seismic station were usedto calculatephase velocities of Rayleigh waves using time-frequency
analysis. The observedphase velocities were inverted considering linear iterative inversion procedure and
several 1-D shear wave velocity models in order to obtain thecrustal structureof the study area. The results
show that the sedimentary thickness is around 10km(Vs 1.995-2.485km/sec),the Conrad discontinuity is located
approximately at 22km depth (Vs 3.114-3.428km/sec),and the Moho discontinuity is located around 41km depth
(Vs 3.827-4.708km/sec).
Keywords: Mesopotamian zone of Iraq, the crustal structure of southern Iraq, cross-correlation of ambient noise, Rayleigh wave phase velocities.
[1]. Abdulnaby, W., Mahdi, M., Al-Mohmed, R., Mahdi, H. (2016). Seismotectonics of Badra-Amarah fault, Iran-Iraq border. IOSR
Journal of Applied Geology and Geophysics, 4(3), 27-33.
[2]. Adams, R. D. and Barazangi, M. (1984). Seismotectonics and seismology in the Arab region: a brief summary and future plans.
Bulletin of the Seismological Society of America, 74(3), 1011-1030.
[3]. Alsinawi, S.A. and Issa, A.A. (1986). Seismicity and Seismotectonics of Iraqi. Jour. Geol. Soc. of Iraq, Vol 19, No.2, pp 39-59.
[4]. Bensen, G.D., Ritzwoller, M. H., Barmin, M. P., Levshin, A. L., Lin, F., Moschetti, M. P., and Yang, Y. (2007). Processing seismic
ambient noise data to obtain reliable broadband surface wave dispersion measurements. Geophysical Journal International, 169(3),
1239-1260.
[5]. Berberian, M., and King, G. C. P. (1981). Towards a paleogeography and tectonic evolution of Iran. Canadian journal of earth
sciences, 18(2), 210-265.