Increasing of Oil Field Productivity by Implementation of Re-entry Horizontal Injection Well, Case study

Jreou, Ghazwan Noori Saad

doi:10.31699/ijcpe.2012.3.3

Cited by 4 publications

(1 citation statement)

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“…evaluated the placement of the infill wells using the particle swarm technique. By determining the best well placements and assessing how the number of infill wells and well spacing affected the final recovery of a synthetic model, the research attempted to resolve the problem of good placement [27]. Gao and McVay.…”

Section: Fig 2 Integration Between Optimization and Reservoir Simulationmentioning

confidence: 99%

Comparison Different Techniques of Optimum Location for Infill Well Drilling

Al-adliy,

Al-mahdawi,

Mohammed

et al. 2024

IJCPE

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Increasing oil production from a reservoir can be achieved by decreasing the distance between the injector and the producer through a process known as infill drilling, which involves a pattern water flood. The main objective of this study is to provide a comprehensive overview of the optimal infill well location and the research and applications available to enhance the oil recovery factor, leading to increased economic profits. one effective empirical approach used in this study is based on decline curve analysis, which analyzes the production history of the well to determine the final economic recovery. Additionally, a numerical method that combines numerical simulation and optimization techniques has been proven to be successful in determining optimal infill drilling locations. The research results show that the volumetric computation of oil in place is a useful method for estimating the number of infill wells needed, but it does not consider heterogeneity and continuity. On the other hand, the numerical simulation and optimization techniques can quantify the remaining mobile oil post-infill drilling and establish optimal pattern configurations for maximum recovery at their centers.

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Section: Fig 2 Integration Between Optimization and Reservoir Simulationmentioning

confidence: 99%

Comparison Different Techniques of Optimum Location for Infill Well Drilling

Al-adliy,

Al-mahdawi,

Mohammed

et al. 2024

IJCPE

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Scaling simulation resulting from mixing predicted model between Mishrif formation water and different waters injection in Basrah oil field, southern Iraq

Ghalib

Almallah

2017

Model. Earth Syst. Environ.

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Dependable scale prediction is of critical importance in the selection of suitable injection water and the development of an effective scale management strategy. The present study focuses on the Mishrif reservoir in the West Qurna oilfield. In this reservoir, we use compositional modeling to understand the interplay between multiphase flow, phase behavior, and geochemical reactions under reservoir and injection conditions relevant to the field. The numerical model PHREEQC was used to simulate the compatibility between Mishrif formation water with three various kinds of surface waters: Sea Water (SW), Euphrates River Water (ERW), and the Main Outfall Drain Water (MODW), and predict the amount of possible scaling results from the mixing of different ratios under reservoir conditions. The chemical compositions of the Mishrif waters are classified as Brine water due to the high value of Ca 2+ and Na 2+ concentration. The waters from the sea, Main Drain Outfall, and the Euphrates River are classified as slightly Brackish waters. All the studied water samples were classified as sodium chloride type (NaCl) due to the increase of evaporation processes, aside from agricultural and domestic activities. The hydrogeochemical facies of the present water samples are fall in NaCl, except in the Mishrif formation water, which is located between NaCl and MixCaMgCl. Scaling prediction models of mixing show that calcium carbonate (CaCO 3 ) and Barite (BaSO 4 ) is expected to cause serious problems in the Mishrif reservoir when all types of waters mix in different ratios in the absence of scale inhibitors, whereas the model results revealed no problems in Celestite, Aragonite, and Strontianite scales due to their minor precipitation behavior through mixing. Gypsum, Sederite, and Anhydrite tend to dissolve when mixing all types of surface waters in different ratios because of a low saturation index. The simulation results show that the best ratios to mix sea water is 90-10% formation water, all ratios to mix Main Drain Outfall water, and 70-30 and 90-10% when mixing Euphrates River water with Mishrif formation water. Chemical inhibitions treatment preferred to be implemented to reduce the carbonate scales during/after water flooding.

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