Version-2 (May-Jun-2018)
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Abstract: Etsako Field remains in appraisal phase since hydrocarbon is yet to be produced from it. Lithostratigraphic technique was earlier employed to subdivide and correlate sedimentary sequence penetrated within the field. The technique often results in exaggerated reservoir continuity and concomitant drilling of dry step- out and infill wells. ET2, ET4, and ET5 are dry step-out wells drilled in the field after ET1 (discovery well) and ET3 (successful or wet well). Parasequences and parasequence sets were employed in this study to generate a time stratigraphic framework for the field. Depth structure maps were produced from depth of sands' top obtained within the time stratigraphic framework...........
[1]. Schlumberger. Well evaluation conference, Nigeria Edition. 2009; 292pp.
[2]. Ager, D.V. The Nature of the Stratigraphic Record, 2nd edn, John Wiley and Sons, New York. 1981; 180pp
[3]. Hubbard,R.J.,Pape,J. and Robert, D.G. (1985). Depositional sequence mapping as a technique to establish tectonic and stratigraphic framework and evaluate hydrocarbon potential on a passive continental margin . In: O.R. Berg and D.G. Woolverton (eds). Seismic stratigraphy 11: An intergrated approach to hydrocarbon exploration. AAPG Memoir 39, 1985; 79-91.
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Abstract: Shaly sands constitute hydrocarbon reservoirs in Bosso Field of Niger Delta basin. Its In-house petrophysical estimations based correction for shaliness effect on linear estimation of reservoirs' shale content (VSh) from gamma ray logs. The approach often results in wrong estimates of hydrocarbon saturation (Sh), bulk hydrocarbon volume per unit reservoir volume (BVH) and hydrocarbon reserve. Since Niger Delta basin consists of Tertiary sediments, this work employed Larinov's empirical formula for correcting shaliness effect in Tertiary sandstones, and thereafter estimated Sh using Indonessian formula for shaly sands. The petrophysical estimations were performed using Geographix® Discovery™ 5000.0.0.0. The data employed comprise gamma ray log, resistivity log, neutron and density porosity logs obtained in six wells (BO-1, BO-2, BO-4, BO-5, BO-6, BO-7)............
[1]. Adeoti, L.,Ayolabi, E.A., and James, P.L. An integrated approach to volume of shale analysis: Niger Delta example, Orire Field. World Applied Sciences Journal. 2009; 7(4): 448-452
[2]. Alimoradi,,A., Moradzadeh,A., and Bakhtiarim, M.R. Methods of water saturation estimation: Historical perspective. Journal of Petroleum and Gas Engineering. 2011; 2(3):45-53.
[3]. Alao, P.A., Ata, A.I., and Nwoke, C.E. Subsurface and petrophysical studies of shaly-sand reservoir targets in Apete Field, Niger Delta. Volume 2013; article ID 102450. http://dx doi.org./10.1159/2013/102450:11
[4]. Setyowiyoto, J. and Samsuri, A. Formation evaluation: correlation between clay volume and porosity based on well logging data. 2008; Scientific conference (1)- Universiti Kebangsaan Malasia(UKM).
[5]. Ishwar, N.,B. and Bhardwaj, A. Petrophysical well log analysis for hydrocarbon exploration in parts of Assqin Arakan Basin, India. Kochi10th biennial international conference and exposition. 2013;5.
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Abstract: Detailed geologic mapping carried out within Gombe and environs, indicated thatthe major rock outcroppingin the area are basically GombeSandstone and Kerri-Kerri Formation. Geochemical analysis carried out for major oxides using X-ray fluorescence (XRF) for the three (3) rock samples of the mudstone member of Gombe Sandstone indicated that Si02 has an average percentage of 52.47% and range from 45.42 to 58.47%. Al2O3 has an average percentage of 15.78% and range from 13.42 to 17.21%. Fe2O3 has an average percentage of 3.22% and range from 2.46 to3.69%. Na2O has an average percentage of 2.93% and range from 2.48 to 3.25%. CaO has an average percentage of 1.98% and range from 1.11 to 2.90%. K2O has an average percentage of 1.57% and range from 0.89 to 2.74%. FeO has an average percentage of 1.09% and range from 0.81 to 1.32%. P2O5 has an average percentage of 0.65% and range from 0.14 to 1.00%. MgO has an average percentage of 0.122% and range from 0.064 to 0.18%..........
Keywords: Geochemical Assessment, Chemical Index of Alteration, Mudstone, Gombe Formation, and Gongola Basin.
[1]. Allix, P. (1983). Environments mésozoques de le partie nor d-Orientale du Fossé la Bénoué (Nigéria).Stratigraphie,sédimentologie, évolutiongéodynamique.TravauxlaboratoireScienesTaire St. – Jérome Marseille (B) 21.iv + 200p.
[2]. Benkhelil, J. (1989). The origin and evolution of the Cretaceous Benue Trough (Nigeria).Journal African Earth Sciences 8, 251-282.
[3]. Carter, J. D., Barber, W., Tait, E. A. and Jones, G. P. (1963). The geology of parts of Adamawa, Bauchi and Borno provinces in north-eastern Nigeria.Bulletin Geological Survey, Nigeria 30, 1-99.
[4]. Cox, R. Lowe, D. R, Culler, R. L. (1995). The influence of sediment recycling and basement composition on evolution of mudrock chemistry in southwestern United States. Geochemica et Cosmochemica, Acta, 58, 2919- 2940.
[5]. Falconer, J. D. (1911).The geology and geography of Northern Nigeria.Macmillan, London, U.K.
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Abstract: Source rock evaluation in the Maiduguri area of south-western portion of the Bornu Basin was carried out with a view to assessing hydrocarbon generation potential in that part of the basin, where only three exploratory wells (13% of the wells drilled so far in the basin) have been drilled. Both bulk geochemical and vitrinite reflectance data were obtained from carefully selected shale samples from ditch cuttings of Ngor -1 well. The result was integrated with existing data of two other wells (Ngamma-1 and Gubio SW-1). The strata of the area is rich in organic matter with TOC well above 0.6 wt% and reaching up to 3.80 w.% and even 5.62 wt% in existing data of Gubio SW– 1 well. These organically rich beds fall within the oil generation window. The limiting factor observed in nearly all the samples (this study and previous ones) in the south-western portion of the Bornu Basin is the low hydrogen index of the organic matter that makes them gas prone with poor to fair or lean hydrocarbon generative potential..
Keywords: Bulk geochemistry, Bonu Basin, Vitrinite reflectance, source rock, hydrogen index..
[1] Adekoya JA, Ola PS and Olabode SO (2014) Possible Bornu Basin Hydrocarbon Habitat – A review. International Journal of geosciences. 5: 983-996.
[2] Adepelumi AA, Alao OA and Kutemi TF (2011) Reservoir characterization and evaluation of depositional trend of the Gombe sandstone, southern Chad Basin Nigeria. Journal of Petroleum and Gas Engineering 2(6):118-131.
[3] Alalade A, Tyson RV (2010) Hydrocarbon Potential of the Late Cretaceous Gongila and Fika Formations, Bornu (Chad) Basin, NE Nigeria. J. of Pet. Geol. 33(4) 339-354.
[4] Alalade B, (2016) Depositional environments of Late Cretaceous Gongila and Fika formations, Chad (Bornu) Basin, Northeast Nigeria. Marine and Petroleum Geology 75 (2016) 100e116.
[5] Avbovbo AA, Ayoola EO and Osahon GA(1986) Depositional and structural styles in the Chad Basin of Northeastern Nigeria. AAPG Bull. 7: 1787-1798..
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Paper Type | : | Research Paper |
Title | : | Principle of Flight in Vacuum and the Idea of DC Electric Power Generation |
Country | : | China |
Authors | : | Zhe Yin |
: | 10.9790/0990-0603023234 |
Abstract: :I n this paper, the principle of dynamic generation of flight quality in vacuum is proposed.,which can change the history of flying with propulsion..
[1] Zhe Yin, 2016. Zhe Yin's energy and wave theorem. International Journal of Engineering and Advanced Research Technology, 2(3), 44-45.
[2] Zhe Yin, 2017. The function and relation of proton and neutron. International Journal of Recent Scientific Research,8(1), 15321-15324.
[3] Zhe Yin, 2017. Effect of Gravitational Wave on DNA Base. International Journal of Recent Scientific Research, 8(2), 15705-15707.
[4] Zhe Yin, 2017. The formation of elements. IOSR Journal of Applied Physics,9(2), 08-13.
[5] Zhe Yin, Liu, D., 2016. Electron trajectory. International Journal of Applied Science and Mathematics,3( 2), 56-57..
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Abstract: :Aquifer studies within Abakaliki and Afikpo were carried out utilizing lithological and pumping test data. The study area falls under the Benue Trough with varying lithostratigraphy. Results of the study reveal that aquifers within the study area are mostly confined; the hydrostratigraphy ranges from fractured shales around Abakaliki area to sands/sandstones in some parts of Afikpo. Information from lithostratigraphic analysis reveals a regional groundwater divide. Aquifer depth varies from 20.8m to 52m with a mean value of 34.98m. It is also noted that the least aquifer thickness of the study area is 5m and the highest aquifer thickness is 36.8m. Analyses of the aquifer hydraulic characteristics of the study area show that the transmissivity varies from 0.14m2/day to 9.3m2/day with a regional mean value of 1.71m2/day. Similarly, hydraulic conductivity varies from 8.0 x 10⁻⁴ m/day to 9.8 x 10⁻² m/day with a mean value of 1.2 x 10⁻² m/day. The study area has an aquifer storativity ranging from 1.05 x 10⁻⁵ to 1.56 x 10⁻⁴ with a mean value of 1.02 x 10⁻². The study area has a poor to fairly good ground water yield that can sustain rural water supply.
Keywords: Aquifer studies, hydrostratigraphy, storatativity, aquifer depth, pumping test
[1] Amajor LC. Aquifers in the Benin Formation (Miocene Recent), Eastern Niger Delta, Nigeria:Lithostratigraphy, Hydraulics, and
Water Quality. Environ Geol Water Sci. 1991;17(2):85-101.
[2] Edet AE, Okereke CS. Assessment of hydrogeological conditions in basement aquifers of the Precambrian Oban massif, southeastern
Nigeria. Journal of Applied Geophysics. 1997;36:195-204.
[3] Edet AE, Okekeke CS. Delineation of shallow groundwater aquifers in the coastal plain sands of Calabar area (Southern Nigeria)
using surface resistivity and hydrogeological data. Journal of African Earth Sciences. 2002;35:433-443.
[4] Esu OE, Okereke CS, Edet AE.A regional hydrostratigraphic study of Akwa Ibom State, Southeastern Nigeria. Global Journal of
Pure and Applied Sciences. 1999;5(1):89-96
[5] Okoro EI, Egboka BCE, Onwuemesi AG.Evaluation of the aquifer characteristic of Nanka Sands using hydrogeological method in
combination with Vertical Electrical Sounding (VES). Journal of Applied Science and Environmental Management.2010;14 (2):5-
9..
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Abstract: :Merapi had a big eruption in 2010. This eruption caused a change in its mass distribution. The changes of mass distribution can be identified by the local and regional anomalies of gravity data. The separation of local and regional anomalies can be done by applied a data filtering method using wavelet transformation and moving average. The assumed data are used is a 2-period data with a separate distribution. A comparison between two methods is used to obtain a more detailed anomaly separation. The result are wavelet transformation method able to separate the local anomaly more detail than the moving average method. Anomaly value in wavelet transform method is ranging between 1.0 mGal to 2.8 mGal while moving average method is ranging between 0.2 mGal to 2.2 mGal. A higher anomaly value indicates an increase of density variation. Local anomalies that appear in the pre and post-eruption of 2010 are located to the southeast part of the Merapi's peak supposed as its reservoir and other gravity anomalies in the northwest are suspected as low-density regions.
Keywords: Merapi, Gravity data, filtering, moving average, wavelet transformation.
[1] Agarwal B.N.P., S. S. (2010). A FORTRAN program to implement the method of finite elements to compute regional and residual anomalies from gravity data. . Computers & Geosciences, 848-852.
[2] Ali M. Al-Rahim. (2016). Separating the gravity field of Iraq by using bidimensional empirical mode decomposition technique. Arabian Journal of Geosciences 9, 1.
[3] Blakely, J. R. (1995). Potential Theory in Gravity and Magnetic Applications. Cambridge: Cambridge University Press.
[4] Changbo Li, L. W. (2015). Interpretations of gravity and magnetic anomalies in the Songliao Basin with Wavelet Multi-scale Decomposition. Frontiers of Earth Science 9:3, 427-436.
[5] Diao B,Wang J L,Cheng X. Y. (2009). Fracture analysis based on continuous complex wavelet transform for gravity anomalies. Geophysical Prospecting for Petroleum, 303-306.
[6] Fehr, L. (2012). Fundamental of Gravity Exploration. Geophysical Monogram Series
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Abstract: :A geoelectric investigation of groundwater prospect around Kwara State, within the basement complex of southwestern Nigeria was carried out with a view to providing information on the geoelectric characteristic of the subsurface sequence, bedrock topography, subsurface structural features and their hydrogeologic significance, in order to identify aquifer units and determine possible areas for groundwater potential zones. The study involved the use of Schlumberger vertical electrical sounding data at seventy three (73) stations. Groundwater potential map was also generated from the integration of geoelectric parameterss using multi-criteria evaluation techniques. The results obtained from this study illustrate that the integration of the data handling method proposed................
Keywords: Coefficient of anisotropy, Groundwater yield, Overburden thickness, Multi-criteria decision analysis, Aquifer resistivity, GIS
[1]. K.A.N. Adiat, M.N.M. Nawawi and K. Abdullah, "Application of Multi-Criteria DecisionAnalysistoZGeoelectric andGeologyParameters for Spatial Prediction of Groundwater Resources Potential and Aquifer Evaluation", Pure Appl. Geophys, Vol. 170, No. 3, 170, 453–471 ISSN 0033 4553, (2013)
[2]. A.N. Amadi and P.I. Olasehinde, "Application of Remote Sensing Techniques in Hydrogeological Mapping of parts of Bosso Area, Minna, North Centra Nigeria". International Journal of the Physical Sciences, 5, 1465-1474, (2010).
[3]. G. K. Amudu, A. G. Onwuemesi, N. E. Ajaegwu, L. N. Onuba and A. O. Omali, "Electrical resistivityinvestigation for groundwater inthe Basement Complex terrain: acase study of Idi-Ayunre and its environs, Oyo State, Southwestern Nigeria", Natural andAppliedSciences Journal, 9(2), 1-12, (2008).
[4]. R. Barker, I. Blunk and I. Smith, "Geophysical consideration in the design of U.K. National Resistivity Sounding database. First Break" 14(2):45-53, (1996),
[5]. M. Deepesh, K. Madan and C. Bimal, "Assessment of groundwater potential in a semi arid region of india using remote sensing, GIS and MCDM techniques". Water Resource Manage 25:1359-1386, (2010).
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Abstract: :Shale volume (Vsh) estimation has been carried out on three selected reservoirs (Nan.1, Nan.2, and Nan.4) distributed across four wells (01, 03, 06, and 12) in Nantin Field, using petrophysical analysis and reservoir modeling techniques with a view to understanding the reservoir elastic properties. Materials utilized for this research work include: Well Log data (Gamma Ray Log, Resistivity Log, Sonic Log, Density Log, Neutron porosity log), and a 3-D Seismic volume were used for the study. Sand and shale were the prevalent lithologies in NantinField. Normal and synthetic Faults were also mapped, the trapping system in the field includes anticlines in association with fault closures. The thicknesses and lateral extents of these reservoirs were delineated into three zones (1, 2, and 3) which were modeled appropriately. Petrophysical and some elasticity parameters such as Poisson ratio ...........
Keywords: Shale Volume Distribution, Niger Delta, Acoustic Impedance, Poisson's Ratio.
[1]. Ahmad, M., and Haghighi., M., (2013): Water Saturation Evaluation of Murteree and Roseneath Shale Gas Reservoirs, Cooper Basin, Australia Using Wire-line Logs, Focused Ion Beam Milling and Scanning Electron Microscopy. In: Society of Petroleum Engineers (ed.), Proceedings of the SPE Unconventional Resources Conference and Exhibition-Asia Pacific, 11–13th November 2013, Brisbane, Australia, pp. 1–20.
[2]. Allen, J.R., (1965): Late Quaternary Niger Delta, and Adjacent Areas Sedimentary Environment and Lithofacies: AAPG Bulletin, Volume 49, pp 547-600.
[3]. Archie, G. E., (1950): Introduction to Petrophysics of Reservoir Rocks. AAPG Bulletin, Volume 34(5), pp 943-961.
[4]. Asquit, G.B., and Gibson, S., (1982): Basic Well Log Analysis for Geologist; American Association of Petroleum Geologist, ISBN 0891816526, 9780891516522
[5]. Bahia., M., Ben Ghawar and Falhi S., Elburas., (2015): Poisson's Ratio, Deep Resistivity and Water Saturation Relationships for Shaly Sand Reservoir, SE Sirt ,Murzuq and Gadames Basins, Libya (Case Study). Journal of Geography and Geology, Vol. 7, No 1