40 Years of Best Practice: Gas Lift Management to Optimize Oil Production in Handil Field from Pertamina Hulu Mahakam

Author(s):  
T. Widarena
2016 ◽  
Vol 55 (38) ◽  
pp. 10114-10120 ◽  
Author(s):  
Mariana Carvalho ◽  
Argimiro R. Secchi ◽  
Miguel Bagajewicz

Author(s):  
Gabriel A. Alarcón ◽  
Carlos F. Torres-Monzón ◽  
Nellyana Gonzalo ◽  
Luis E. Gómez

Abstract Continuous flow gas lift is one of the most common artificial lift method in the oil industry and is widely used in the world. A continuous volume of gas is injected at high pressure into the bottom of the tubing, to gasify the oil column and thus facilitate the extraction. If there is no restriction in the amount of injection gas available, sufficient gas can be injected into each oil well to reach maximum production. However, the injection gas available is generally insufficient. An inefficient gas allocation in a field with limited gas supply also reduces the revenues, since excessive gas injection is expensive due to the high gas prices and compressing costs. Therefore, it is necessary to assign the injection gas into each well in optimal form to obtain the field maximum oil production rate. The gas allocation optimization can be considered as a maximization of a nonlinear function, which models the total oil production rate for a group of wells. The variables or unknowns for this function are the gas injection rates for each well, which are subject to physical restrictions. In this work a MATLAB™ nonlinear optimization technique with constraints was implemented to find the optimal gas injection rates. A new mathematical fit to the “Gas-Lift Performance Curve” is presented and the numeric results of the optimization are given and compared with results of other methods published in the specialized literature. The optimization technique proved fast convergence and broad application.


2015 ◽  
Author(s):  
O. F. Al-Fatlawi ◽  
M. Al-Jawad ◽  
K. A. Alwan ◽  
A. A. Essa ◽  
D. Sadeq ◽  
...  
Keyword(s):  

Author(s):  
A. M. Andari

The Handil field is one of the mature fields in the Mahakam Delta, East Kalimantan, Indonesia. This field is widely known as an oil producer for more than 40 years with peak production of 180,000 BOPD in 1977 and has been challenging in terms of oil production decline ever since. Today, this field delivers ~16,000 BOPD from 115 active wells with more than 90% of oil production coming from gas lifted wells. Therefore, evaluating gas lift performance is very crucial to maintain hydrocarbon production of the field. As a gas lift well is produced, it is common to find gas lift unloader damage, sealing element problems, or even leaks at the tubing due to aging of equipment that degrades the gas lift performance. This paper explains the use of well testing data on investigating the performance of gas lift by estimating gas lift injection depth. The best fit vertical lift correlation should be chosen to represent actual pressure profile of the wells inside the tubing and annulus casing pressure. Estimated injection point is derived from gas lift unloader valve opening status or meeting point between tubing and casing pressure profile. The calculation was done using computational simulation and was applied for every flowing gas lifted well in an integrated module. Based on the simulation, wells that were found to encounter behavior anomalies requested to perform P-T (pressure temperature) + spinner surveys to confirm leak points prior to leak isolations. Based on 3 proven leak cases, it is confirmed that estimated gas lift injection point from simulation versus production logging survey are in line. In 2019, we had 6 gas lift well cases that were confirmed to have a leak and continued with a leak isolation program. After these wells were put back into production, it gave cumulative oil production of up to almost 100,000 Bbls oil. The high success rates of this method verifies the applicability of this effective approach to maintain gas lift performance and is easy to replicate for others PSC companies.


2021 ◽  
pp. 1-28
Author(s):  
Son Tran ◽  
Vu Le

Abstract The typical challenge encountered in developing heavy-oil reservoirs is inefficient wellbore lifting caused by complex multiphase flows. The literature on modeling of a hybrid artificial lift (AL) system is relatively sparse and these works typically model the AL system on the basis of individual AL methods. This paper presents a case study of the design and optimization of a hybrid AL system to improve heavy-oil production. We systematically design and model a hybrid electrical-submersible-pump/gas-lift (ESP/GL) system to enhance wellbore lifting and production optimization. We found that the implementation of hybrid ESP/GL system provides the flexibility to boost production and reduces production downtime. Results from the pilot test show that the production rate in hybrid mode is approximately 30% higher than in ESP-only mode. The power consumption of the hybrid mode is 3% lower in the ESP-only mode. Furthermore, the average ESP service life exceeds six years which is better than expected in the field development plan. The pump-performance-curve model is built with corrections for density and viscosity owing to the increased water production. We observed a higher pressure drawdown with GL injection at fixed ESP frequency. The GL injection reduces the density of the fluid column above the ESP, resulting in less pressure loss across the pump, less power consumption, and potentially extended service life. The nodal-analysis results suggest that the pump capacity can be considerably expanded by manipulating the GL rate instead of increasing the frequency.


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