在经典算子的基础上，结合边界跟踪和曲线拟合的理论，得到了能较好处理一般质量图像边界的算法。
On the basis of classical edge operator theory and combined with edge tracking and curve fitting theory we developed an algorithm which can deal with the edge of ordinary quality image better.
根据最优化理论，提出了矿场试井曲线计算机自动拟合的方法。
On the basis of optimization theory, a method of computerized matching of well test curves was developed.
实例表明，实际产量资料与理论递减曲线的拟合可确定地层参数，预测产量变化。
Field example demonstrates that by matching actual production data with theoretical decline curve formation parameters can be determined and future production can be predicted.
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