论文部分内容阅读
根据不同区带类型,选取相应的资源量计算公式,引入蒙特卡罗法,建立了含油面积、有效厚度、有效孔隙度、原始含油饱和度等随机变量的分布模型;结合原油相对密度、地层体积系数等常量,利用成熟算法和程序进行计算,得到了区带资源量概率分布;据此,结合区带风险概率评价成果,利用线性规划方法,以区带资源量、储量成本、增储目标、各区储量分配及不同类型储量比例等因素为基础,编写了约束条件和目标函数,建立了线性规划模型,得到了最优勘探区带组合。认为区带资源量的科学预测是勘探方案编制的基础,而线性规划方法可为勘探方案编制的科学性提供保障。
According to the different zone types, the formula of resource amount is selected, Monte-Carlo method is introduced to establish the distribution model of random variables such as oil area, effective thickness, effective porosity and original oil saturation. Combining the relative density of crude oil, Coefficient and other constants, the mathematic algorithm and program are used to calculate the probability distribution of zone resource quantity. Based on this, combining with the result of zone risk probability evaluation, linear programming method is used to calculate the regional resource, reserve cost, Based on the factors such as reserve allocation and different types of reserves, the constraints and objective functions were compiled and the linear programming model was established. The optimal combination of exploration zones was obtained. Scientific predictions of zone resources are the basis for exploration programs and the linear programming approach can provide assurance of the scientific nature of the exploration program.