Tengiz Sour Gas Injection Modeling: A Geo-mechanics Approach to Understand Gas Breakthrough (Russian)

2014 ◽  
Author(s):  
Ruiting Wu ◽  
Margaretha C.M. Rijken ◽  
Sameh Macary ◽  
Merey Shinikulova ◽  
Bolat Amangaliev ◽  
...  
Keyword(s):  
Gas Injection ◽  
Sour Gas

Tengiz Sour Gas Injection Project: An Update

2014 ◽  
Author(s):  
Gulnara Urazgaliyeva ◽  
Gregory R. King ◽  
Sabyrzhan Darmentaev ◽  
Damira Tursinbayeva ◽  
Darrin Dunger ◽  
...  
Keyword(s):  
Gas Injection ◽  
Sour Gas

Production Optimization Coupling Multiple Reservoirs and Facilities With Sour Gas Re-Injection for Miscible EOR in South Oman

2021 ◽  
Author(s):  
Kamlesh Kumar ◽  
Varun Pathak ◽  
Pankaj Agrawal ◽  
Zaal Alias ◽  
Tushar Narwal ◽  
...  
Keyword(s):  
Oil Recovery ◽  
Production System ◽  
Gas Injection ◽  
Ghg Emissions ◽  
Development Project ◽  
Production Optimization ◽  
Oil Reservoirs ◽  
Fully Implicit ◽  
Gas Utilization ◽  
Sour Gas

Abstract Effective gas utilization is critical to any gas injection development project to maximize recoveries for a given purchase of make-up gas, whilst reducing the Green Gas House (GHG) emissions. This paper describes the use of a fully implicit Integrated Production System Model (IPSM) for two inter-connected production system networks, coupling multiple, critically sour oil reservoirs undergoing Miscible Gas Injection (MGI) for Enhanced Oil Recovery (EOR) using produced sour gas from oil and condensate fields in South Oman. The IPSM model links sixteen reservoir models with varying levels of complexities to the facilities network. Complexities in the facilities include multiple nodal constraints that necessitate the use of an Equation of State model (EOS). The IPSM model honors the gas balance implicitly. Gas flood optimization includes prioritizing low GOR production wells (at reservoir and well level) whilst maintaining reservoir pressure above Minimum Miscibility Pressures (MMP). Development schedule optimization also helps in optimizing the compressor size, the key Capex component. Compositional modeling allows continuous tracking of souring levels at different nodes, providing integrity status of overall production system network. The current IPSM model helps in optimization of schedule for the phased development of the oil reservoirs and eventually the most efficient gas utilization. This has enabled low pressure operation in some reservoirs providing oil at very low unit technical cost while waiting for gas availability. Compositional tracking for H2S helps in operating the facilities within design limits whilst planning future developments to cater to this design. Some key parameters can be parameterized for quick sensitivity analysis for an informed decision making for business opportunities. The production potential of the system is also tracked to ensure there is a cushion in the system to deal with any unexpected changes. This feature helps in planning and optimizing the scheduled turn-around activities for these two inter-connected production system networks. The novelty of this work is collaboration across multiple disciplines, especially the surface and subsurface because of complex interactions between facilities constraints and reservoir performance (associated with produced gas reinjection). Compositional tracking and injection gas apportionment across multiple reservoirs is key to the overall value maximization in this complex development.

Tengiz Sour Gas Injection Modeling: A Geo-mechanics Approach to Understand Gas Breakthrough

2014 ◽  
Author(s):  
Ruiting Wu ◽  
Margaretha C.M. Rijken ◽  
Sameh Macary ◽  
Merey Shinikulova ◽  
Bolat Amangaliev ◽  
...  
Keyword(s):  
Gas Injection ◽  
Sour Gas

Conceptual Study for Sour Gas Processing Emphasized on Acid Gas Injection

2016 ◽  
Author(s):  
Rendra B. Haristyawan ◽  
Mira Yuliatri ◽  
I. Totok Sugiarto ◽  
Adi F. M. Ringoringo ◽  
Tri P. Adhi
Keyword(s):  
Gas Injection ◽  
Acid Gas ◽  
Gas Processing ◽  
Acid Gas Injection ◽  
Conceptual Study ◽  
Sour Gas

scholarly journals Study of the impact of injection parameters on the performance of miscible sour gas injection for enhanced oil recovery

2019 ◽  
Vol 10 (4) ◽  
pp. 1575-1589
Author(s):  
Aminu Yau Kaita ◽  
Oghenerume Ogolo ◽  
Xingru Wu ◽  
Isah Mohammed ◽  
Emmanuel Akaninyene Akpan
Keyword(s):  
Enhanced Oil Recovery ◽  
Oil Recovery ◽  
Gas Injection ◽  
Research Work ◽  
Gas Concentration ◽  
Acid Gas ◽  
Minimum Miscibility Pressure ◽  
Injection Parameters ◽  
The Impact ◽  
Sour Gas

AbstractSour gas reservoirs have faced critics for environmental concerns and hazards, necessitating a novel outlook to how the produced sour gases could be either utilized or carefully disposed. Over the years of research and practice, several methods of sour gas processing and utilization have been developed, from the solid storage of sulfur to reinjecting the sour gas into producing or depleted light oil reservoir for miscible flooding enhanced oil recovery. This paper seeks to investigate the impact of injection parameters on the performance of sour gas injection for enhance oil recovery. In designing a miscible gas flooding project, empirical correlations are used and the key parameter which impacts the phase behavior is identified to be the minimum miscibility pressure (MMP). A compositional simulator was utilized in this research work to study the effect of injection parameters such as minimum miscibility pressure, acid gas concentration, injection pressure and injection rate on the performance of miscible sour gas injection for enhanced oil recovery. The findings showed that methane concentration had a significant impact on the MMP of the process. Additionally, an increase in acid gas concentration decreases the MMP of the process as a result of an increase in gas viscosity, consequently extending the plateau period resulting in late gas breakthrough and increased overall recovery of the process.

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