Influence of well management in the development of multiple reservoir sharing production facilities
| Autor: | Denis José Schiozer, João Carlos von Hohendorff Filho |
|---|---|
| Přispěvatelé: | University of Campinas (UNICAMP) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
General Chemical Engineering
Energy Engineering and Power Technology 02 engineering and technology lcsh:Chemical technology lcsh:HD9502-9502.5 010502 geochemistry & geophysics 01 natural sciences 020401 chemical engineering Apportionment Benchmark (surveying) Production (economics) lcsh:TP1-1185 Integrated production 0204 chemical engineering Project management 0105 earth and related environmental sciences Valuation (finance) [PHYS]Physics [physics] Petroleum engineering business.industry lcsh:Energy industries. Energy policy. Fuel trade Term (time) Fuel Technology Economic evaluation Environmental science business |
| Zdroj: | Oil & Gas Science and Technology-Revue d'IFP Energies nouvelles Oil & Gas Science and Technology-Revue d'IFP Energies nouvelles, Institut Français du Pétrole, 2020, 75, pp.70. ⟨10.2516/ogst/2020064⟩ Oil & Gas Science and Technology, Vol 75, p 70 (2020) |
| ISSN: | 1294-4475 1953-8189 |
| DOI: | 10.2516/ogst/2020064⟩ |
| Popis: | International audience; Well prioritization rules on integrated production models are required for the interaction between reservoirs and restricted production systems, thus predicting the behavior of multiple reservoir sharing facilities. This study verified the impact of well management with an economic evaluation based on the distinct prioritizations by reservoir with different fluids. We described the impact of the well management method in a field development project using a consolidated methodology for production strategy optimization. We used a benchmark case based on two offshore fields, a light oil carbonate and a black-oil sandstone, with gas production constraint in the platform. The independent reservoir models were tested on three different approaches for platform production sharing: (Approach 1) fixed apportionment of platform production and injection, (Approach 2) dynamic flow-based apportionment, and (Approach 3) dynamic flow-based apportionment, including economic differences using weights for each reservoir. Approach 1 provided the intermediate NPV compared with the other approaches. On the other hand, it provided the lowest oil recovery. We observed that the exclusion of several wells in the light oil field led to a good valuation of the project, despite these wells producing a fluid with higher value. Approach 2 provided the lower NPV performance and intermediate oil recovery. We found that the well prioritization based on flow failed to capture the effects related to the different valuation of the fluids produced by the two reservoirs. Approach 3, which handled the type of fluids similarly to Approach 1, provided a greater NPV and oil recovery than the other approaches. The weight for each reservoir applied to well prioritization better captured the gains related to different valuation of the fluids produced by the two reservoirs. Dynamic prioritization with weights performed better results than fixed apportionment to shared platform capacities. We obtained different improvements in the project development optimization due to the anticipation of financial returns and CAPEX changes, due mainly from adequate well apportionment by different management algorithm. Well management algorithms implemented in traditional simulators are not developed to prioritize different reservoir wells separately, especially if there are different economic conditions exemplified here by a different valuation of produced fluids. This valuation should be taken into account in the short term optimization for wells. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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