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008			260806t20252025my a|||fr|||| 000 0 eng d
020			_aTHE0010910 (Local) _qHardback
040			_aUMPSA _beng _cUMPSA _erda
090			_aFTKKP .K44 2025 r Bc.
100	0		_aKhertna A/P Prabagaran, _eauthor.
245	1	0	_aOptimization of injector and producer well placement for waterflooding efficiency with economic analysis / _cKhertna A/P Prabagaran
264		1	_aKuantan, Pahang : _bUMPSA, _c2025
264		4	_c© 2025
300			_axi, 37 pages : _billustrations ;
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
347			_2rda _atext file _bPDF
500			_aFaculty of Chemical and Process Engineering Technology
502			_aFinal Year Report (Bachelor of Technology Mechanical Engineering (Petroleum) with Hons ) -- Universiti Malaysia Pahang Al-Sultan Abdullah - 2025
504			_aInclude bibliographical reference
520	3		_aWaterflooding, a secondary recovery method implemented after primary recovery depletion, relies on water injections to displace oil. This technique however faces difficult challenges like optimizing the placement of injection and production wells as inefficient well placement can impact the oil production and affecting the oil field’s economic viability. The interplay between different well placement patterns affect fluid flow within the reservoir, impacting both the oil recovery rate and net present value of waterflood. This paper aims to study the effect of waterflooding by the optimization of injector and producer well placement in reservoir. The simulation process started by inputting the data of black oil model into the simulator. The three key parameters of this research were well placements (5-spot, 7-spot and direct vertical line), injection timing (year 2051), wettability condition (water-wet). The simulation will be run individually with each parameter as each case until the results reach an optimization. A comparison will be done based on the obtained results to identify the optimized parameter. From the simulated result, total oil production and net present value will be analysed. Direct Line pattern was the most optimized parameter where it gave highest value of total oil production (11.42 𝑚𝑙𝑛 𝑠𝑚3). This was due to the direct line’s pattern arrangement, with more focused injection, it will control the waterflood front well. However, 5-spot pattern has the highest net present value (7.197%). The highest value of net present value indicates the favour in economic probability. 5-spot has the lowest total water injection, which lowers the operating costs, and it also has an excellent sweep efficiency. In conclusion, the results drawn a suggestion where direct line well pattern produces highest oil production which are the optimized parameters for oil recovery whereas 5-spot configuration likely to yield most favourable economic outcomes for waterflooding project.
610	2	0	_aFaculty of Chemical and Process Engineering Technology _xDissertations
650		0	_aUniversities and colleges _xDissertations
650		0	_aTheses _xDissertations
856			_uhttps://umpir.ump.edu.my/id/eprint/48089
942			_2lcc _cPSM
999			_c105406 _d105412