在常规资源日益衰竭的今天,为了确保未来的能源供应,稠油已逐渐成为重要的资源之一。稠油开采是与高的固定资本投资分不开的。稠油开发经济上依附于石油和天然气的市场需求和价格。重要的是,稠油的开采与地质风险有关而且开采量是最小的,但是它的储量是普通石油天然气总储量的3倍。尽管石油和天然气的价格、井网动态、设备成本和需求都是不确定的,但是油田开发必须做出决策。在稠油开采方面目前存在几种常规的热力学方法,如蒸汽驱、蒸汽吞吐和蒸汽辅助重力泄油。蒸汽吞吐已成为广泛应用的热力采油方法。文章提出了一个在不确定条件下将油气采收率最优化的油层数值模拟方法,该方法还包括一个物理基经济模型。建立了一种合成单井稠油油藏模型,并加上一个以电子表格为基础的经济学模型,使两个领域之间协同合作,对于同类油田的参数优化有一定的指导意义。 Today, with the deterioration of conventional resources, heavy oil has gradually become one of the important resources in order to ensure future energy supply. Heavy oil production is inseparable from high fixed capital investment. Heavy oil development is economically dependent on market demand and prices for oil and gas. Importantly, the exploitation of heavy oil is associated with geological hazards and the extraction is minimal, but its reserves are three times the normal total reserves of oil and gas. Although the price of oil and gas, well pattern dynamics, equipment costs and demand are both uncertain, oilfield development must make decisions. There are currently several conventional thermodynamic methods for heavy oil recovery such as steam flooding, steam huff and steam assisted gravity drainage. Steam huff and puff has become a widely used method of thermal oil production. In this paper, a method of numerical simulation of oil and gas recovery under uncertain conditions is proposed. The method also includes a physics-based economic model. A model of synthetic single well heavy oil reservoir was established, and a spreadsheet-based economic model was set up so that the cooperation between the two fields could guide the parameter optimization of similar oilfields.