This paper summarizes numerical and experimental simulation results of a cyclic solvent injection process study, which was part of a continuing investigation into the use of solvents as a follow up process in Cold Lake and Lloydminster reservoirs that have been pressure depleted by cold heavy oil production with sand (CHOPS). Typically only 5 -10% of the original oil in place (OOIP) is recovered during cold production, so an effective follow-up process is required.The cyclic solvent injection (CSI) experiment consisted of primary production followed by 6 solvent (28% C 3 H 8 -72% CO 2 ) injection cycles. Oil recovery after primary production and six solvent cycles was 50%, which indicates the potential viability of the CSI process.Concurrently with the laboratory physical simulation, a numerical simulation model was developed to represent the physical behavior of the experimental results. A history match of the primary production portion of the experiment was obtained using an Alberta Research Council foamy oil model. This resulted in the characterization (fluid saturations and pressures) of the oil sand pack at the start of the solvent injection process. The history match of the subsequent 6 solvent injection cycles was used to validate the numerical model of the CSI process developed at the Alberta Research Council.This model includes non-equilibrium rate equations that simulated the delay in solvent reaching its equilibrium concentration as it dissolves or exsolves in the oil in response to changes in the pressure and/or gas phase composition. Dissolution of CH 4 , C 3 H 8 , and CO 2 in oil and CO 2 in water were considered, as was exsolution of CH 4 , C 3 H 8 , and CO 2 from oil and CO 2 from water.Reduced gas phase permeabilities resulting from gas exsolution were also included.The history match simulations indicated that:• The important mechanisms were represented in the simulations • Significant oil swelling by solvent dissolution occurs during solvent injection periods. This can reduce solvent injectivity and penetration into a heavy oil reservoir during solvent injection periods • Low oil and gas phase relative permeabilities are required during production periods to match the experimental oil and gas production during solvent cycles A parametric simulation study showed that the quantity of gas injected in an injection period was relatively insensitive to the oil phase diffusion coefficients but was sensitive to solvent solubility in oil, dissolution rates, gas phase diffusion coefficients, molar densities in the oil phase, gas phase relative permeability, and capillary pressure. It was shown that oil production is highly dependent on how quickly solvent can dissolve in the oil during injection and exsolve from the oil during production
Summary This paper summarizes numerical and experimental simulation results of a cyclic solvent injection process study, which was part of a continuing investigation into the use of solvents as a follow-up process in Cold Lake and Lloydminster reservoirs that have been pressure-depleted by cold heavy oil production with sand (CHOPS). Typically only 5% - 10% of the original oil in place (OOIP) is recovered during cold production; therefore, an effective follow-up process is required. The cyclic solvent injection (CSI) experiment consisted of primary production followed by six solvent (28% C3H8 - 72% CO2) injection cycles. Oil recovery after primary production and six solvent cycles was 50%, which indicates the potential viability of the CSI process. Concurrently with the laboratory physical simulation, a numerical simulation model was developed to represent the physical behaviour of the experimental results. A history match of the primary production portion of the experiment was obtained using an Alberta Innovates - Technology Futures (AITF) foamy oil model. This resulted in the characterization (fluid saturations and pressures) of the oil sandpack at the start of the solvent injection process. The history match of the subsequent six solvent injection cycles was used to validate the numerical model of the CSI process developed at AITF. This model includes nonequilibrium rate equations that simulated the delay in solvent reaching its equilibrium concentration as it dissolves or exsolves in the oil in response to changes in the pressure and/or gas-phase composition. Dissolution of CH4, C3H8 and CO2 in oil and CO2 in water were considered, as was exsolution of CH4, C3H8 and CO2 from oil and CO2 from water. Reduced gas-phase permeabilities resulting from gas exsolution were also included. The history match simulations indicated that: The important mechanisms were represented in the simulations. Significant oil swelling by solvent dissolution occurs during solvent injection periods. This can reduce solvent injectivity and penetration into a heavy oil reservoir during solvent injection periods. Low oil and gas-phase relative permeabilities are required during production periods to match the experimental oil and gas production during solvent cycles. A parametric simulation study showed that the quantity of gas injected in an injection period was relatively insensitive to the oil-phase diffusion coefficients, but was sensitive to solvent solubility in oil, dissolution rates, gas-phase diffusion coefficients, molar densities in the oil phase, gas-phase relative permeability and capillary pressure. It was shown that oil production is highly dependent on how quickly solvent can dissolve in the oil during injection and exsolve from the oil during production.
Summary Only 5-10% of the oil in Lloydminster heavy-oil reservoirs is recovered during cold heavy-oil production with sand (CHOPS). CSI is currently the most active post-CHOPS process. In CSI, a solvent mixture (e.g., methane/propane) is injected and allowed to soak into the reservoir before production begins (Fig. 1). CSI has been focused on heavy-oil recovery from post-CHOPS reservoirs that are too thin for an economic steam-based process. It has been piloted by Nexen and Husky and was a fundamental part of the CDN40 million joint implementation of vapour extraction (JIVE) solvent pilot program that ran from 2006 through 2010. This paper describes field-scale simulations of CSI performed with a comprehensive numerical model that uses "mass-transfer" rate equations to represent nonequilibrium solvent-solubility behaviour (i.e., there is a delay before the solvent reaches its equilibrium solubility in oil). The model contains mechanisms to consider foaming or to ignore it, depending on the field behaviour. It has been used to match laboratory experiments, design CSI operating strategies, and to interpret CSI field pilot results. The paper summarizes the impact on simulation predictions of post-CHOPS reservoir characterizations where the wormhole region was represented by one of the following five configurations: (1) an effective high-permeability zone, (2) a dual-permeability zone, (3) a dilated zone around the well, (4) wormholes (20-cm-diameter spokes) extending from the well without branching, and (5) wormholes extending from the well with branching from the main wormholes. The different post-CHOPS configurations lead to dramatically different reservoir access for solvent and to different predictions of CSI performance. The impacts of grid size, upscaling, solvent dissolution and exsolution rate constants, and injection strategy were examined. The assumption of instant equilibrium solubility resulted in a 23% reduction in oil production compared with when a delay in solvent dissolution and exsolution was allowed for. Increasing the gridblock size by a factor of nine reduced the predicted oil production five-fold. Assuming isothermal behaviour in the simulations decreased predicted oil production by 17%.
Only 5 - 15% of the oil in Lloydminster heavy oil reservoirs is recovered during cold heavy production with sand (CHOPS). Solvent injection processes are being explored as a means of recovering the heavy oil remaining in the reservoir after CHOPS has been completed. Solvent retention becomes a main concern for the process economics. This paper evaluates the relative importance of different solvent retention mechanisms and how solvent can be recovered from the reservoir so that solvent injection processes (e.g. cyclic solvent injection (CSI), Vapor Extraction Process (VAPEX), thermal solvent, and steam-solvent) can be economically viable. In particular, CSI is a promising post-CHOPS follow-up process. Sources of solvent loss / retention include: Solvent trapped in the reservoir due to surface and interfacial forces including adsorption and capillary pressureSolvent vapor (free gas or trapped bubbles) in porous mediaDissolution in un-recovered oilDissolution in formation water or thief water zonesOther possible sources such as:Lack of confinement of injected fluids; especially important for post-CHOPS reservoirsHydrate formationPrecipitated asphaltenes Three experiments were performed to estimate solvent losses due to different retention mechanisms. In these experiments, gaseous propane was injected into a sand pack to a pressure of 750 kPag and then depressurized (at an ambient temperature of 21 °C) in 100 kPa steps to 50 kPag. The propane produced at each depressurization step was measured. The sand packs used in the experiments were: Sand pack initially saturated with water ("wet pack")Dry sand packSand pack initially flooded with water and then with dead Husky Edam oil The experimental results showed that there was significant propane retention in unproduced oil and as solvent gas. However, little propane adsorption occurred on the sand as it had a small surface area due to an insignificant amount of clays being present in the test packs. Solvent adsorption in a reservoir can be significant if there is a considerable amount of clays with a large surface area. It may be particularly high when shale is present. Propane concentrations in the produced water from the wet pack were similar to literature values. Solvent loss in water was small due to the low pressures involved in the test. However, solvent loss in water will be significant if the solvent dissolves into the formation water at high temperature (for liquid solvent) and/or high pressure especially if there is a significant water source to sweep away the dissolved solvent or the water causes hydrate formation.
This paper summarizes a project that was part of the $40 million 2006-2010 Joint Implementation of Vapour Extraction (JIVE) pilot program managed by the Petroleum Technology Research Centre and including Husky Oil, CNRL, NEXEN, Alberta Innovates-Technology Futures, and the Saskatchewan Research Council. The project was in support of a cyclic solvent injection (CSI) field pilot in the Lloydminster region of Saskatchewan that was evaluating the potential of CSI to exploit reservoirs following cold heavy oil production with sand (CHOPS).History matches were performed for two Edam CHOPS wells in the Colony formation and they determined initial reservoir conditions (e.g. pressure, effective permeability, porosity, fluid saturations, and gas and oil phase mole fractions) for subsequent CSI simulations. Thin formation layers (~15 cm) were used in the CHOPS simulations to improve representation of wormhole generation and advance. One well had rapid sand production that quickly declined whereas the other well had continuous sand production due to wormhole propagation and scouring and resulted in sustained oil production.The reservoir model for the application of CSI contained a number of wells including the CSI well and two communicating offset wells (Figure 1). Using an Alberta Innovates-Technology Futures (AITF) CSI model, a history match was obtained for CSI Cycle 1. Eleven different potential injection/production strategies were then evaluated for Cycle 2 and the simulation results were used in the design of this cycle. One conclusion was that expanding the solvent injection period from 1 to 2 months increased the combined oil production for the three wells by 29% but resulted in a 46% increase in net solvent to oil ratio.
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