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PETROMAKS2-Stort program petroleum

Reducing CO2-emissions in petroleum production by constraining optimal depletion strategy through inclusion of emission-costs

Alternativ tittel: Reduksjon av CO2 utslipp i olje og gass produksjon gjennom optimalisering av dreneringsstrategier.

Tildelt: kr 5,2 mill.

Prosjektnummer:

336959

Prosjektperiode:

2022 - 2024

Midlene er mottatt fra:

Organisasjon:

I samsvar med målet satt av Paris-avtalen, fokuserer olje- og gasselskaper i økende grad på å redusere karbonavtrykket i både eksisterende felt og på nye feltutbygginger. Samtidig ser vi at olje og gass fortsatt er en sentral del av energimiksen i verden, noe som fører til at olje- og gasselskaper trenger nye løsninger som både bidrar til å opprettholde og/eller øke utvinnbare volum i nye og eksisterende felt, samtidig som de minimerer karbonutslippene. I dette forskningsprosjektet har Resoptima AS, NORCE og utvalgte industri partnere gått sammen for å bidra til å utvikle nye løsninger og metoder som både hjelper olje- og gasselskaper å kvantifisere og redusere karbonavtrykket i sine nye planlagte, og produserende felt, samtidig som de opprettholder eller øker deres bidrag til energimiksen.

The project seeks to establish a mathematical foundation for adding CO2-emission costs into the calculations involved in finding an optimal drainage strategy for a petroleum reservoir. To make such a tool eventually available to the market would make it tractable for stakeholders to deal with CO2-emissions as an integral part of a reservoir production planning exercise, happening prior to any investments on a reservoir. We believe this is what is required to include the ambitions, decisions and implications from the Paris agreement into practical use, notably the ambition to reach 50% emission reduction by 2030, and NZE by 2050. Minimizing the number of wells, reducing amount of water injection, reducing or delaying water influx to production wells and increasing the amount of CO2 injected all can be described by a cost, positive or negative, that will be related to the at any time given price of CO2-emissons. Including that cost in the optimization calculations takes the petroleum industry towards a sustainable future. Since there are many considerations to deal with simultaneously, including uncertainties on data, the problem to solve is highly multi-dimensional. Moreover, it is optimization under uncertainty. We plan to explore the Stochastic Simplex Approximate Gradient (StoSAG) as well as other optimization methods. Searching for the robust solution we need; it will be an important part of the project to document these various optimisation algorithms after running realistic tests on data from several real reservoirs. In a multi-dimensional setting several solutions could be within a reasonably close vicinity of the optimum. Due to existing uncertainty of the assumptions, the task is therefore not just to find an optimum solution, but a solution with an estimated range of relevance. E.g. if one of the assumptions (cost of emission) changes 1%, that should not be expected to change the chosen production strategy completely. Robustness is therefore key.

Budsjettformål:

PETROMAKS2-Stort program petroleum