Selecting EOR Polymers through Combined Approaches—A Case for Flooding in a Heterogenous Reservoir

This work uses micromodel, core floods and Field-Flow Fractionation (FFF) evaluations to estimate the behaviour and key elements for selecting polymers to address heterogenous reservoirs. One of the approaches was to construct two-layered micromodels differing six times in permeability and based on the physical characteristics of a Bentheimer sandstone. Further, the impacts of injectivity and displacement efficiency of the chosen polymers were then assessed using single- and two-phase core tests. Moreover, FFF was also used to assess the polymers’ conformity, gyration radii, and molecular weight distribution. For the polymer selection for field application, we weighted on the good laboratory performance in terms of sweep efficiency improvement, injectivity, and propagation. Based on the results, polymer B (highest MWD) performed the poorest. Full spectrum MWD measurement using Field-Flow Fractionation is a key in understanding polymer behavior. Heterogenous micromodel evaluations provided consistent data to subsequent core flood evaluations and were in alignment with FFF indications. Single-phase core floods performed higher injection velocities (5 m/d) in combination of FFF showed that narrower MWD distribution polymers (polymers A and C) have less retention and better injectivity. Two-phase core floods performed at low, reservoir representative velocities (1 ft/d) showed that Polymer B could not be injected, with pressure response staying at high values even when chase brine is injected. Adsorption values for all tested polymers at these conditions were high, however highest were observed in the case of polymer B. Overall, for the polymer selection for field application, we weighted on the good laboratory performance in terms of sweep efficiency improvement, injectivity, polymer retention, and propagation; all accounted in this work.

[1]  Huifeng Liu,et al.  Recent Advances in Polymer Flooding in China , 2022, Molecules.

[2]  H. Zhong,et al.  Modeling of microflow during viscoelastic polymer flooding in heterogenous reservoirs of Daqing Oilfield , 2022, Journal of Petroleum Science and Engineering.

[3]  T. Clemens,et al.  Hydrocarbon Field (Re-)Development as Markov Decision Process , 2022, SPE Reservoir Evaluation & Engineering.

[4]  T. Clemens,et al.  Improved Enhanced Oil Recovery Polymer Selection Using Field-Flow Fractionation , 2022, SPE Reservoir Evaluation & Engineering.

[5]  T. Clemens,et al.  Horizontal Versus Vertical Wells: Assessment of Sweep Efficiency in a Multi-Layered Reservoir Based on Consecutive Inter-Well Tracer Tests - A Comparison Between Water Injection and Polymer EOR , 2021, Day 4 Thu, October 21, 2021.

[6]  Z. Wang,et al.  Polymer Injectivity Learned From 20 Years’ Polymer Flooding Field Practices , 2021 .

[7]  Aifen Li,et al.  Experimental Investigation of Polymer Enhanced Oil Recovery under Different Injection Modes , 2020, ACS omega.

[8]  E. Delamaide Is Chemical EOR Finally Coming of Age? , 2020, IOR 2021.

[9]  Guangming Pan,et al.  Twelve Years Field Applications of Offshore Heavy Oil Polymer Flooding from Continuous Injection to Alternate Injection of Polymer-Water , 2020 .

[10]  Markus Marx,et al.  Overcoming Back-Produced Polymer Challenges - Development of an Advanced and Economic Filtration Technology for CEOR Application , 2020, Day 3 Wed, October 28, 2020.

[11]  L. Ganzer,et al.  On the Role of Polymer Viscoelasticity in Enhanced Oil Recovery: Extensive Laboratory Data and Review , 2020, Polymers.

[12]  Yi He,et al.  Associated Polymer ASP Flooding Scheme Optimization Design and Field Test after Polymer Flooding in Daqing Oilfield , 2020 .

[13]  L. Ganzer,et al.  Lab on a Chip Lab on a Chip , 2022 .

[14]  T. Clemens,et al.  Alkali/Cosolvent/Polymer Flooding of High-TAN Oil: Using Phase Experiments, Micromodels, and Corefloods for Injection-Agent Selection , 2020, SPE Reservoir Evaluation & Engineering.

[15]  M. Thiele,et al.  Risk Assessment and Simulation of Injectivity Decline Under Uncertainty , 2019, SPE Production & Operations.

[16]  Antoine Thomas Essentials of Polymer Flooding Technique , 2019 .

[17]  T. Clemens,et al.  Polymer-Flood Field Implementation: Pattern Configuration and Horizontal vs. Vertical Wells , 2018, SPE Reservoir Evaluation & Engineering.

[18]  A. Alkindi,et al.  Success and Challenges in Ongoing Field Scale Polymer Flood in Sultanate of Oman - A Holistic Reservoir Simulation Case Study for Polymer Flood Performance Analysis & Prediction , 2018 .

[19]  H. Guo How to Select Polymer Molecular Weight and Concentration to Avoid Blocking in Polymer Flooding , 2017 .

[20]  T. Clemens,et al.  Polymer-Flooding Economics, From Pilot to Field Implementation , 2017 .

[21]  L. Ganzer,et al.  Rock-on-a-Chip Devices for High p, T Conditions and Wettability Control for the Screening of EOR Chemicals , 2017 .

[22]  J. Juri,et al.  Grimbeek2: First Successful Application Polymer Flooding in Multilayer Reservoir at YPF. Interpretation of Polymer Flooding Response , 2017 .

[23]  N. Gaillard,et al.  Successful Polymer Selection for CEOR: Brine Hardness and Mechanical Degradation Considerations , 2017 .

[24]  T. Clemens,et al.  The Use of Tracer Data To Determine Polymer-Flooding Effects in a Heterogeneous Reservoir, 8 Torton Horizon Reservoir, Matzen Field, Austria , 2016 .

[25]  R. Al-Maamari,et al.  Improving Polymer Flooding Efficiency in Oman Oil Fields , 2016 .

[26]  Adam Wilson Chemical EOR for Heavy Oil: The Canadian Experience , 2016 .

[27]  Biswajit Choudhuri,et al.  Optimization of a Large Polymer Flood With Full-Field Streamline Simulation , 2015 .

[28]  T. Clemens,et al.  Operational Challenges and Monitoring of a Polymer Pilot, Matzen Field, Austria , 2015 .

[29]  L. Ganzer,et al.  Assessment of Polymer Injectivity with Regards to Viscoelasticity: Lab Evaluations towards Better Field Operations , 2015 .

[30]  Mukul M. Sharma,et al.  Simulation of polymer injection under fracturing conditions - An injectivity pilot in the matzen field, Austria , 2015 .

[31]  A. Zaitoun,et al.  Pelican Lake Field: First Successful Application of Polymer Flooding In a Heavy-Oil Reservoir , 2014 .

[32]  R. Seright,et al.  Polymer Flooding a ~500-cp Oil , 2012 .

[33]  Xiaoqin Zhang,et al.  Application of Polymer Flooding with High Molecular Weight and Concentration in Heterogeneous Reservoirs , 2011 .

[34]  Dennis Denney,et al.  Study of Remaining-Oil Distribution After Polymer Injection , 2011 .

[35]  Marco R. Thiele,et al.  Improved Polymer-Flood Management Using Streamlines , 2011 .

[36]  R. Seright,et al.  New Insights Into Polymer Rheology in Porous Media , 2011 .

[37]  N. Giske,et al.  Polymer Flooding - Flow Properties in Porous Media versus Rheological Parameters , 2010 .

[38]  B. Hustedt,et al.  Optimizing Recovery for Waterflooding Under Dynamic Induced Fracturing Conditions , 2009 .

[39]  J. Giddings,et al.  Separation and molecular weight distribution of anionic and cationic water-soluble polymers by flow field-flow fractionation , 1992 .

[40]  Guy Chauveteau,et al.  Molecular Interpretation of Several Different Properties of Flow of Coiled Polymer Solutions Through Porous Media in Oil Recovery Conditions , 1981 .

[41]  W. H. Carter,et al.  Selection Of Polymers For The Control Of Mobility And Permeability Variation At Richfield East Dome Unit, Orange County, California , 1980 .