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在以井点观测方式下,以模型和系统间输出数据之差值的优化为基础而形成的空间变化参数确定方法,虽在理论和应用方面都已研究了许多年,但除分区近似平均方案外,目前还远没有得到成功,在适定性提法及合用的解法方面,均遗留下许多问题。本文仅就其中的单相二维可压缩渗流问题,在国外工作的基础上,试图做进一步探讨,并着重讨论修改G.Chavent(及W.H.Chen)梯度公式的依据、方法和效果,附带也涉及了一些与此有关的优化技术改进问题,并以计算实例说明了一些观点。
In the well point observation mode, the method of determining the spatial variation parameter based on the optimization of the difference between the model and the output data of the system has been studied for many years both in theory and application, except for the partition average approximation scheme At present, far from being successful, many problems have left behind in terms of the formulation of methods of formulation and combination. In this paper, only on the one-phase two-dimensional compressible seepage flow problems, based on work abroad, trying to further explore, and focus on the modification G.Chavent (and WHChen) gradient formula basis, methods and effects, incidental also involves Some related optimization techniques to improve the problem, and some examples to illustrate some of the ideas.