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为了解决海拉尔油田水性解释难题,针对地下复杂的油水分布状况,收集整理了研究2011年至2013年118份的试油中的水样品数据。考虑了能反映地层水化学性质的7个成分(CO32-、HCO3-、Cl-、SO42+、Ca2+、Mg2+、K++Na+)含量参数,应用了数学模型中判别分析的原理和方法,建立了研究水层和非水层的定量判别模型。相符率达到了95.9%,表明判别数学模型是显著的。利用建立的判别数学模型,对17个地层水试油样品进行判别,相符率达到88%,与实际符合很好,表明判别模型可靠,可以在试油解释中使用。
In order to solve the problem of water-based interpretation in Hailaer Oilfield, the data of water samples from 118 oil spills from 2011 to 2013 were collected and analyzed according to the complicated distribution of oil and water underground. The parameters of seven components (CO32-, HCO3-, Cl-, SO42 +, Ca2 +, Mg2 +, K ++ Na +) that can reflect the chemical properties of formation water are considered. The principle and method of discriminant analysis in mathematical model are applied to establish Study the quantitative discriminant model of aquifer and non-aquifer. The coincidence rate reached 95.9%, indicating that the discriminant mathematical model is significant. Using the discriminant mathematical model established, the discrimination of 17 oil-formation samples from formation water is achieved, with the coincidence rate reaching 88%, which is in good agreement with the actual situation, indicating that the discriminant model is reliable and can be used in interpretation of test oil.