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With an increasing interest for extra heavy oil (EHO) extraction, a number of heavy oil fields will initially be produced using a cold production scheme, while at a later stage thermal production in the form of steam injection can be introduced to enhance the recovery. Such a fullfield conversion from cold to hot production has so far only been performed to a limited extent, hence the experience and understanding of the various challenges with such a task is limited. While much work has been carried out on both cold and hot production of extra heavy oil as stand alone processes, little has been published around the procedure of converting from cold to hot production. This conversion contains a number of pitfalls detrimental to a successful field development. In an EHO cold to hot conversion scheme, several choices will have to be made with respect to well positioning, completion options, timing and scale of the conversion. Investment decisions in surface equipment, handling and cost of water and gas for steam generation are also important considerations. All of these designs and decisions affect the success and profitability of the conversion scheme. One of the basic challenges with modeling cold to hot conversion is the difference in scale required. The thermal simulation of a hot production scheme requires a very fine grid to capture the fine scale processes, while for full field simulation one needs a much coarser grid to be able to obtain a manageable model both in size and simulation time. The high number of producers and injectors required on a fullfield scale adds to the complexity of the problem, making recovery, production profile and optimal number of wells highly uncertain. A simplified translation to fullfield conditions of these parameters from sector models or spreadsheets, can introduce erroneous results and conclusions. To assure the best field performance over its lifetime, these issues need to be considered already in the initial field design. Based on the work performed, several interesting observations have been made regarding how to optimize field performance.
With an increasing interest for extra heavy oil (EHO) extraction, a number of heavy oil fields will initially be produced using a cold production scheme, while at a later stage thermal production in the form of steam injection can be introduced to enhance the recovery. Such a fullfield conversion from cold to hot production has so far only been performed to a limited extent, hence the experience and understanding of the various challenges with such a task is limited. While much work has been carried out on both cold and hot production of extra heavy oil as stand alone processes, little has been published around the procedure of converting from cold to hot production. This conversion contains a number of pitfalls detrimental to a successful field development. In an EHO cold to hot conversion scheme, several choices will have to be made with respect to well positioning, completion options, timing and scale of the conversion. Investment decisions in surface equipment, handling and cost of water and gas for steam generation are also important considerations. All of these designs and decisions affect the success and profitability of the conversion scheme. One of the basic challenges with modeling cold to hot conversion is the difference in scale required. The thermal simulation of a hot production scheme requires a very fine grid to capture the fine scale processes, while for full field simulation one needs a much coarser grid to be able to obtain a manageable model both in size and simulation time. The high number of producers and injectors required on a fullfield scale adds to the complexity of the problem, making recovery, production profile and optimal number of wells highly uncertain. A simplified translation to fullfield conditions of these parameters from sector models or spreadsheets, can introduce erroneous results and conclusions. To assure the best field performance over its lifetime, these issues need to be considered already in the initial field design. Based on the work performed, several interesting observations have been made regarding how to optimize field performance.
Low oil recovery reached after more than 60 years of production in a rather deep heavy oil (9.5-11°API) field in South America encourages looking for a thermal method (steamflood) which potentially promises a tenfold increase in the recovery factor.Steamflood forecasting for such a large field is highly challenging. Direct thermal reservoir simulation seems impractical because of the size of the model (about 120 million grid-blocks). A recently developed correlation-based probabilistic technique has met the forecasting challenge. First, a relatively small set of thermal reservoir simulation runs with sector models provided a basis for production/injection correlations between key rates as well as cumulative quantities and the models' geologic and engineering input. All the runs included pressure depletion and steamflood stages. Next, about 350 forecasting elements (1 sq. km each) covered the entire Northern part of the field, which was subject of the forecasting; every element received probabilistic distributions of the key geologic parameters involved in correlations. Then, the Monte-Carlo simulation united the correlations with the distributions and allowed selecting combinations of the parameters corresponding to P10-P50-P90 probabilities of the dynamic performance. Reconstruction of oil and water production as well as steam injection P10-P50-P90 time-profiles completed preparation of the forecasting elements.Reservoir depth and quality cut-offs restricted the area of the potential future steamflood application. For several sets of the cut-offs, wells were placed within the areas in accordance with inverted 7-spot patterns at either 8 or 24 acres/pattern. Every well adopted production or injection profiles from its forecasting element-host. Drilling timetable controlled the wells coming on primary production. Steamflood started in a 100-pattern cluster after 4-5 years of primary production. Heat management governed time-profile of steam injection into the cluster. On reaching a steam-oil-ratio cut-off, steam injection shifted to the next 100-pattern cluster. Summarizing individual well production or injection time-profiles, arranged in accordance with the drilling schedule, generated field P10-P50-P90 forecasts for several cases of interest. 157
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