Well performance optimization for gas lift operation in a heterogeneous reservoir by fine zonation and different well type integration

Abstract In this study, an integrated optimization procedure was proposed for well performance analysis in a heterogeneous oil field from southwest Iran. Proposed integrated strategy optimizes well performance in an iterative manner, while fluid properties, geological and petrophysical data were analyzed separately by new advanced methods. Subsequently, integrated solution was introduced by integrating various well types geometry and fine zonation of the target formation. Combination between each zone and each well type was based on three potential oil bearing zones predefined by well log data analysis. Target formation, the Sarvak formation limestone, was divided into 10 different zones and much more subzones according to the geological and petrophysical data. Afterwards, 17 wells with various geometries were modeled in the upscaled reservoir model. Fluid properties and reservoir characteristics were also obtained and analyzed from different samples taken from target formation. Results of applying the proposed integration strategy defined that the maximum production rate occurs while water cut does not exceed 10%. Performed analysis also suggest 15 MPa as the optimal value of the surface gas lift pressure and state that the gas oil ratio should not exceed this ratio at the flowing wells bottom condition. Sensitivity analysis on tube size expresses 4.67-inches tube as the optimum value. Meanwhile, sensitivity analysis on flow rate represents that optimal value of this parameter shows high sensitivity to changes in production index. Results showed that 7% change in production index will make 4% changes in optimal gas flow rate value.

[1]  M. Tabatabaei,et al.  Generalized inflow performance relationships for horizontal gas wells , 2010 .

[2]  M. Soleimani Simulation of petroleum exploration based on a conceptual decision model: Taking the Dezful Embayment in southwestern Iran as an example , 2013 .

[3]  Louis J. Durlofsky,et al.  A New Well-Pattern-Optimization Procedure for Large-Scale Field Development , 2011 .

[4]  Mehrdad Soleimani,et al.  3D static reservoir modeling by geostatistical techniques used for reservoir characterization and data integration , 2015, Environmental Earth Sciences.

[5]  Mohan Kelkar,et al.  New dynamic permeability upscaling method for flow simulation under depletion drive and no-crossflow conditions , 2013, Petroleum Science.

[6]  Alireza Bahadori,et al.  Determination of oil well production performance using artificial neural network (ANN) linked to the particle swarm optimization (PSO) tool , 2015 .

[7]  Pseudo-Steady-State Productivity Formula for a Partially Penetrating Vertical Well in a Box-Shaped Reservoir , 2010 .

[8]  Wen H. Chen,et al.  Efficient Well Placement Optimization with Gradient-based Algorithms and Adjoint Models , 2008 .

[9]  R. Kharrat,et al.  Investigating the Effects of Heterogeneity, Injection Rate, and Water Influx on GAGD EOR in Naturally Fractured Reservoirs , 2013 .

[10]  A. Daoud,et al.  Production Allocation in Multi-Layers Gas Producing Wells Using Temperature Measurements With the Application of a Genetic Algorithm , 2014 .

[11]  Tianhong Chen New methods for accurate upscaling with full-tensor effects , 2009 .

[12]  Jacques Hagoort,et al.  An analytical model for predicting the productivity of perforated wells , 2007 .

[13]  B. Jodeiri Shokri,et al.  Integrated Petrophysical Modeling for a Strongly Heterogeneous and Fractured Reservoir, Sarvak Formation, SW Iran , 2016, Natural Resources Research.

[14]  Behzad Nozohour-leilabady,et al.  On the application of artificial bee colony (ABC) algorithm for optimization of well placements in fractured reservoirs; efficiency comparison with the particle swarm optimization (PSO) methodology , 2016 .

[15]  O. Iliev,et al.  ON NUMERICAL UPSCALING FOR FLOWS IN HETEROGENEOUS POROUS MEDIA , 2008 .

[16]  Mohsen Masihi,et al.  A Novel Combinatorial Approach to Discrete Fracture Network Modeling in Heterogeneous Media , 2013 .

[17]  Alireza Bahadori,et al.  CALCULATING PSEUDO-STEADY-STATE HORIZONTAL OIL WELL PRODUCTIVITY IN RECTANGULAR DRAINAGE AREAS USING A SIMPLE METHOD , 2013 .

[18]  Jing Lu,et al.  Productivity equations for an off-center partially penetrating vertical well in an anisotropic reservoir , 2008 .

[19]  T. Hou,et al.  Analysis of upscaling absolute permeability , 2002 .

[20]  Ridha Gharbi,et al.  An introduction to artificial intelligence applications in petroleum exploration and production , 2005 .

[21]  S R Shadizadeh,et al.  A SUCCESSFUL EXPERIENCE IN OPTIMIZATION OF A PRODUCTION WELL IN A SOUTHERN IRANIAN OIL FIELD , 2009 .

[22]  Roshan Sharma,et al.  On Generalized Reduced Gradient method with multi-start and self-optimizing control structure for gas lift allocation optimization , 2013 .