Eni oilfield has been experiencing production decline with increase in water output. The implementation of enhanced oil recovery (EOR) can help to extract some percentages of the original oil in place (OOIP). EOR methods are capital intensive and few are environmental hazardous. In a bid to address these issues, this paper discusses on an alternate economically viable enhanced oil recovery technique which has the potential to curb the challenges of other conventional EOR methods.This work suggested a 3 stage approach of applying microbial enhanced oil recovery (MEOR) method for oil recovery in Eni field. The reservoir characteristics in Eni field were studied, the average porosity value of the reservoirs is between 0.238 and 0.241.The reservoir characteristics and parameters were found suitable for the application of MEOR technique for effective oil drainage from the delineated reservoir compartments. Microbial flooding was found to be matured in reservoirs with temperature less than 200 F, brine salinity not more than 100,000 ppm, water depth not more than 3500m and permeability should be above 30 (Md). It was recommended that MEOR approach should be applied in Eni Oilfield for increment of oil production and reduction in water cut due to its efficiency and economic viability.
This research work on material selection for subsea pipeline construction was carried out to analyze and recommend suitable material option that satisfies DNV-OS-F101 standard for subsea pipeline constructions which will not succumb to extreme conditions and performs well in unpredictable conditions in the Niger Delta Region of Nigeria. Crude oil is mainly transported through pipelines, structural failure of the pipelines will severely affect oil production processes and will cause huge economic loss. Data on oil pipeline failures in the Niger Delta region of Nigeria were gathered and the major causes were; corrosion, operational error, third party activities and mechanical failures which were associated with the construction materials and structures of the pipelines. Hence, material selection for subsea pipelines is of vital importance. This paper makes use of Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) Theory to make fuzzy evaluation of different material options for pipeline construction. Statistical data and experts’ knowledge were integrated in addressing data limitation. This paper utilizes related weights and normalized scores based on experts’ judgements and with the aid of value engineering (VE) method, material criteria based on DNV-OS-F101 standard and TOPSIS Theory to achieve the best material option. The analysis has demonstrated that the estimation of TOPSIS is reliable. The outcome obtained can be used to assist the decision maker in the selection of the best material option suitable for the construction of subsea pipeline in Niger Delta region.
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