Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
EOR pilot initiatives, integral to the company's strategy, are conducted within limited areas, typically less than ∼5 acres, to assess the commercial feasibility of selected EOR methodologies for specific reservoirs. This study examines subsurface challenges encountered throughout the execution of EOR projects, focusing on geological uncertainties. It proposes pragmatic remedies by addressing constraints in geological data and devising risk mitigation strategies during the pilot implementation phase. Drawing upon insights gleaned from EOR pilot initiatives, various strategies are employed to mitigate geological uncertainties within and surrounding the pilot zone. These encompass the acquisition of directional surveys in pilot and adjacent monitoring wells, as well as the collection of core samples, RFT data, fluid specimens, CBL logs, FMI, and VIT data in a minimum of two pilot wells to facilitate correlation. Additionally, comprehensive analyses such as complete core CT scans, sedimentological assessments, XRD analyses, and petrographic studies are conducted. Surveillance during the pilot phase involves obtaining baseline and time-lapse data through methods like HPT-SNL, PLT, induction resistivity, and pulse neutron logging. Furthermore, interwell tracer data is acquired at least twice and integrated with geological correlations. In the first case study, a three-well pilot comprising two injectors and one producer, alongside an existing central producer, was initially designed. The first injector well was drilled based on the predetermined plan. Subsequent analysis of the most recent deviation surveys revealed alterations in the target subsurface distances between the injector and central producer wells, prompting adjustments to the design to align with the updated surveys. In the second case study, the acquisition of cores from multiple wells within a conventional five-spot chemical EOR pilot proved instrumental in accurately determining the depths and widths of highly permeable zones in each well. This core data was then correlated with HPT-SNL logs to delineate the extension of permeable layers within the pilot area. Furthermore, insights derived from formation mineralogy aided in understanding issues related to siderite precipitation resulting from chemical injection, particularly in zones with large perforation intervals. The third case study involved a miscible gas EOR pilot, cores from pilot wells aided in avoiding weathered zones for perforation. VIT, guided by FMI and openhole logs, identified six lithological barriers; unexpectedly, only two were leak-free. These findings shed light on gas breakthroughs and guided perforation strategies. The study focus lies on tackling geological uncertainties and suggesting solutions like thorough data acquisition. Adaptation of pilot designs using deviation surveys, accurate zone identification through core data, and employing Vertical Interference Testing (VIT) for lithological barrier assessment in miscible gas EOR projects are highlighted as essential insights.
EOR pilot initiatives, integral to the company's strategy, are conducted within limited areas, typically less than ∼5 acres, to assess the commercial feasibility of selected EOR methodologies for specific reservoirs. This study examines subsurface challenges encountered throughout the execution of EOR projects, focusing on geological uncertainties. It proposes pragmatic remedies by addressing constraints in geological data and devising risk mitigation strategies during the pilot implementation phase. Drawing upon insights gleaned from EOR pilot initiatives, various strategies are employed to mitigate geological uncertainties within and surrounding the pilot zone. These encompass the acquisition of directional surveys in pilot and adjacent monitoring wells, as well as the collection of core samples, RFT data, fluid specimens, CBL logs, FMI, and VIT data in a minimum of two pilot wells to facilitate correlation. Additionally, comprehensive analyses such as complete core CT scans, sedimentological assessments, XRD analyses, and petrographic studies are conducted. Surveillance during the pilot phase involves obtaining baseline and time-lapse data through methods like HPT-SNL, PLT, induction resistivity, and pulse neutron logging. Furthermore, interwell tracer data is acquired at least twice and integrated with geological correlations. In the first case study, a three-well pilot comprising two injectors and one producer, alongside an existing central producer, was initially designed. The first injector well was drilled based on the predetermined plan. Subsequent analysis of the most recent deviation surveys revealed alterations in the target subsurface distances between the injector and central producer wells, prompting adjustments to the design to align with the updated surveys. In the second case study, the acquisition of cores from multiple wells within a conventional five-spot chemical EOR pilot proved instrumental in accurately determining the depths and widths of highly permeable zones in each well. This core data was then correlated with HPT-SNL logs to delineate the extension of permeable layers within the pilot area. Furthermore, insights derived from formation mineralogy aided in understanding issues related to siderite precipitation resulting from chemical injection, particularly in zones with large perforation intervals. The third case study involved a miscible gas EOR pilot, cores from pilot wells aided in avoiding weathered zones for perforation. VIT, guided by FMI and openhole logs, identified six lithological barriers; unexpectedly, only two were leak-free. These findings shed light on gas breakthroughs and guided perforation strategies. The study focus lies on tackling geological uncertainties and suggesting solutions like thorough data acquisition. Adaptation of pilot designs using deviation surveys, accurate zone identification through core data, and employing Vertical Interference Testing (VIT) for lithological barrier assessment in miscible gas EOR projects are highlighted as essential insights.
A hydrocarbon gas injection pilot was successfully conducted in a complex heterogeneous multilayered Oolitic carbonate reservoir in Kuwait. The pilot strived towards de-risking technical and commercial feasibility for field-scale deployment of miscible CO2-WAG EOR development. The pilot consisted of a pre-flush water-injection phase (2016-19) followed by a gas injection phase (2021-22). This paper describes modelling challenges of pre-flush waterflood & miscible HC gas injection phase and its implications for Full-field CO2 development. The injection phases were carried out sequentially in three target layers, injecting a range of pore volumes in each layer and gathering wealth of data including Inter-well tracer data, PLT/ILT, time-lapse saturation logging, coring, PTA and VIT to assess the impact of heterogeneity on the displacement process. Detailed compositional simulation studies were undertaken on sector models of the pilot area created from full-field models, incorporating new data & full-field fluxes. Model calibration was challenging as variable tracer arrival and concentration profiles indicated high heterogeneity. Experimental designs were conducted leading to sector models calibration, by identifying layer-connectivity and baffle introduction. Detailed integrated static and dynamic modeling of the pilot area were conducted using compositional simulation models, incorporating pre-flush water and gas injection data, history-matched to production, injection, GOR, water-cut, pressure, tracer production concentration and arrival time, ILT/PLT and time-lapse saturation logs. This detailed assessment revealed the impact of heterogeneity including horizontal baffles and barriers on the displacement process. The knowledge gained from pre-flush pilot data review and modelling were instrumental in forecasting the pilot gas injection performance. Activities undertaken to forecast the gas injection pilot performance include a two-pronged strategy of using calibrated hybrid sector model realizations and simple box models. For the gas injection phase, calibration and improvement in history-match of the hybrid dynamic model was achieved by updating relative permeability end-points and baffles adjustment to match the observed gas tracer results. An integrated analysis of the gathered data, reservoir modeling & Residence Time Distribution analysis of water and gas tracers was conducted, providing an insight on reservoir de-saturation, inflow and sweep for the pre-flush and gas injection phases along with the achieved oil gain, assisting better understanding of the implications for future CO2 Water Alternating Gas (WAG) Enhanced Oil Recovery (EOR) full-field development. Novel integrated workflow consisting of robust surveillance techniques, reservoir modelling workflows along with tracer analysis techniques were used in this complex heterogeneous multi-layered carbonate reservoir study in understanding pore scale and reservoir scale sweep efficiency and its impact on oil recovery. The excellent result from the gas injection performance in pilot and surrounding wells has provided KOC an opportunity in designing a road map for full-field deployment of CO2 WAG in this world class field.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.