جستجوی مقالات مرتبط با کلیدواژه "oil production" در نشریات گروه "مهندسی شیمی، نفت و پلیمر"

Research topic:

Gas lift is an efficient artificial lift strategy, routinely used to overcome the low productivity of the wells. In this research, the possibility of using two gases, carbon dioxide and nitrogen instead of natural gas, in the gas lifting process is investigated and compared. To maximize oil production, the optimization of the allocation of the limited amount of gas between 10 wells in the Iranian offshore brown oil field is performed.

In this research, all the wells were modeled by PROSPER software. First, all 10 wells data of an Iranian offshore oil reservoir were collected. Secondly, their model has been built and after validation, a simulation of the artificial gas lift was performed using carbon dioxide and nitrogen gas separately, then, the Gas Lift Performance Curve (GLPC) of all the wells are fitted with the appropriate experimental model in MATLAB software. In the following, using Solver Excel, the allocation optimization with a limited amount of gas was performed using two different gases.

According to the results obtained from the optimization, for a certain amount of available gas which is 15 MMSCFD, the total Oil production in the case of nitrogen gas injection is 3564 STBD more than carbon dioxide gas injection. Also, in all cases, due to the production potential capacity of well No. 8, the most amount of injected gas is allocated to it. The comparison of the two types of injected gas shows that the quantity of oil produced using nitrogen is 3424 and 3302 STBD (28 % and 24 %) greater than carbon dioxide gas when the gas is lowered to 12 and 9 MMSCFD, respectively.

With the help of gas lift methods, the ability of the fluid increases and the production takes place at the surface. Often, the amount of gas available in the gas lift method is limited, so the appropriate allocation of the available gas to the wells is an important issue in the gas lift method. Optimizing gas lift plays an important role in generating and maximizing net present value. In summary, this paper provides a comprehensive review of gas lift optimization techniques used in the petroleum industry, from numerical methods to meta-heuristic techniques. Finally, the results of the studies show that the degree of complexity of the numerical methods increases with the increase in the number of parameters. However meta-heuristic methods can deal with complex problems. On the other hand, meta-heuristic methods include methods whose superiority depends on factors such as convergence to the global optimum, the number of adjustable parameters, accuracy, and speed. For example, according to the methods used in previous studies, the water cycle algorithm and the algorithm based on teaching and learning showed fast convergence, and the genetic algorithm is often trapped in local areas in the smaller population. The ant colony algorithm and the water cycle have less execution time than other algorithms. Also, the method of allocating and optimizing the variables in each of the algorithms will be different from each other, and it will be possible to choose the method with the best optimal solution only by comparing the results obtained according to the conditions of the existing problem.