共查询到20条相似文献，搜索用时 31 毫秒
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We deal with a multi-parameter identification problem arising in oil industry. In the general case, we give a local solvability condition to guarantee the well-posedness of the problem. We discuss in detail the identification of two parameters for which some numerical results are given. 相似文献
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We present the applicability of differential system (DS) method for identification of hydraulic conductivity and effective porosity in a phreatic aquifer. In the original setting, the first step of the DS system is to solve an overdetermined algebraic system in the least squares sense. A natural extension of the method is to pose a least squares problem in an appropriate functional space. We show an improvement of the identification by considering the least square problem in the space of square integrable functions in the time variable for a finite interval. 相似文献
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Numerical identification of diffusion parameters in a nonlinear convection–diffusion equation is studied. This partial differential
equation arises as the saturation equation in the fractional flow formulation of the two-phase porous media flow equations.
The forward problem is discretized with the finite difference method, and the identification problem is formulated as a constrained
minimization problem. We utilize the augmented Lagrangian method and transform the minimization problem into a coupled system
of nonlinear algebraic equations, which is solved efficiently with the nonlinear conjugate gradient method. Numerical experiments
are presented and discussed.
This work was partially supported by the Research Council of Norway (NFR), under grant 128224/431. 相似文献
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We consider numerical identification of the piecewise constant permeability function in a nonlinear parabolic equation, with the augmented Lagrangian method. By studying this problem, we aim at also gaining some insight into the potential ability of the augmented Lagrangian method to handle permeability estimation within the full two-phase porous-media flow setting. The identification is formulated as a constrained minimization problem. The parameter estimation problem is reduced to a coupled nonlinear algebraic system, which can be solved efficiently with the conjugate gradient method. The methodology is developed and numerical experiments with the proposed method are presented. 相似文献
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We propose a decision-making approach for optimizing the profitability of hydrocarbon reservoirs. The proposed approach addresses
the overwhelming complexity of the overall optimization problem by suggesting an oilfield operations hierarchy that entails
different time scales. We discuss system identification, optimization, and control that are appropriate at various levels
of the hierarchy and capitalize on the abilities of permanently instrumented and remotely actuated fields. Optimization is
performed in real-time and is based on feedback. We provide details on real-time identification of hybrid models and their
use at the scheduling and supervisory control levels. Case studies using field-calibrated simulation data demonstrate the
applicability and value of the proposed approach. Directions for future development are given. 相似文献
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Richard Giot Albert Giraud Christophe Auvray Françoise Homand Théophile Guillon 《国际地质力学数值与分析法杂志》2011,35(3):329-359
In this paper, we investigate the pulse test, which is usually considered as efficient for measuring the permeability of weakly permeable porous media. The pulse is first analyzed and we show that it is a fully poromechanical coupled problem. Owing to those couplings, the problem is 2D‐axisymmetrical, rather than 1D as is usually considered to be the case. As a consequence, the 1D solutions, for example under constant mean stress hypothesis, although giving good approximates of permeability and storage coefficient, are not rigorous and an enhanced back analysis of the test requires 2D solutions. Therefore, no analytical solution exists, and the problem has to be solved using 2D‐axisymmetrical numerical modelings of the pulse test. The finite element method is considered in this paper. We then proceed to formulate the pulse test back analysis as a parameter identification problem, and we focus on intrinsic permeability, Biot coefficient, drained Young's modulus and reservoir compressibility levels. This parameter identification problem is solved by an inverse method consisting of the minimization of a cost‐functional, through a gradient‐based algorithm. This new method of interpretation of the pulse test is finally applied to laboratory tests on Meuse/Haute–Marne argillite and is shown to give encouraging results. Copyright © 2010 John Wiley & Sons, Ltd. 相似文献
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We explore the possibility to identify a nonconducting object of a known size and geometry buried in sand-clay conducting sediments lying over frozen ground. The anomaly, which is located on the surface of the low-conducting layer, is detected with a multi-electrode dc array. Its 3D electric field is simulated as a boundary-value problem using specially designed software. The new algorithm is tested with synthetic and field data and the results are used to develop the procedure of object identification and location. 相似文献
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Determination of well locations and their operational settings (controls) such as injection/production rates in heterogeneous subsurface reservoirs poses a challenging optimization problem that has a significant impact on the recovery performance and economic value of subsurface energy resources. The well placement optimization is often formulated as an integer-programming problem that is typically carried out assuming known well control settings. Similarly, identification of the optimal well settings is usually formulated and solved as a control problem in which the well locations are fixed. Solving each of the two problems individually without accounting for the coupling between them leads to suboptimal solutions. Here, we propose to solve the coupled well placement and control optimization problems for improved production performance. We present an alternating iterative solution of the decoupled well placement and control subproblems where each subproblem (e.g., well locations) is resolved after updating the decision variables of the other subproblem (e.g., solving for the control settings) from previous step. This approach allows for application of well-established methods in the literature to solve each subproblem individually. We show that significant improvements can be achieved when the well placement problem is solved by allowing for variable and optimized well controls. We introduce a well-distance constraint into the well placement objective function to avoid solutions containing well clusters in a small region. In addition, we present an efficient gradient-based method for solving the well control optimization problem. We illustrate the effectiveness of the proposed algorithms using several numerical experiments, including the three-dimensional PUNQ reservoir and the top layer of the SPE10 benchmark model. 相似文献
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This paper is dedicated to the identification of constitutive parameters of elasto‐viscoplastic constitutive law from measurements performed on deep underground cavities (typically tunnels). This inverse problem is solved by the minimization of a cost functional of least‐squares type. The exact gradient is computed by the direct differentiation method and the descent is done using the Levenberg–Marquardt algorithm. The method is presented for lined or unlined structures and is applied for an elastoviscoplastic constitutive law of the Perzyna class. Several identification problems are presented in one and two dimensions for different tunnel geometries. The used measurements have been obtained by a preliminary numerical simulation and perturbed with a white noise. The identified responses match the measurements. We also discuss the usage of the sensitivity analysis of the system, provided by the direct differentiation method, for the optimization of in situ monitoring. The sensitivity distribution in space and time assess the location of the measurements points as well as the time of observation needed for reliable identification. Copyright © 2002 John Wiley & Sons, Ltd. 相似文献
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应用CP网络进行岩性识别 总被引：2，自引：3，他引：2
为通过测井解决岩性识别问题，引入了具有分类准确、算法简练等优点的CP（Counter-Propagation)网络。在详细介绍CP网络的网络模型和算法的基础上，结合某油田的实际测井资料，进行了CP网络识别研究。应用结果表明：CP网络训练周期短、识别准确率高、不存在收敛问题。通过试验研究得出结论：CP网络完全可以用于解决岩性识别等问题，具有广阔的应用前景。 相似文献
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含水层参的反演是一个复杂的非线性优化问题，针对传统二进制遗传算法收敛性能差的缺陷，提出了反演含水层参数的十进制遗传算法.以直线隔水边界附近的井流模型为例，讨论了十进制遗传算法在含水层参数反演中的应用，并与二进制遗传算法的进行比较.结果表明，该方法在含水层参数的反演中不仅是可行的，而且具有较好的确定性和较高的精度;与二进制遗传算法相比，十进制遗传算法的收敛性较好，省时高效，且表示较为自然，容易引入相关领域知识.同时，结合实例的分析结果得出种群的规模对算法的收敛性没有明显的影响。 相似文献
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首次提出了利用测井曲线不同形态识别沉积微相方法（算法）必须要满足三个前提条件,即平移和尺度缩放的不变性以及旋转可变性的认识,并提出了一种满足这三个前提条件的利用测井曲线形态识别沉积微相的新方法。主要通过求取不同测井曲线形态的边界方向概率密度后,再对其进行小波变换,可用少数几个对其方向概率密度可以近视重构的低频小波描述子进行沉积微相识别,同时建立了不同沉积微相小波描述子识别模式。对反映不同沉积微相的测井曲线形态方向概率密度函数进行小波分析,使沉积微相信息从高维特征空间被映射到由少数几个低频小波描述子组成低维特征向量空间,使不同沉积微相间差异信息得到放大突出。该方法不仅使利用测井曲线形态对沉积微相识别的这一较复杂问题,简化为对少数几个低频小波描述子进行判断的简单问题,而且还可利用这些小波描述子对其进行一定程度上沉积学分析。 相似文献
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用十进制遗传算法识别泰斯模型参数 总被引：2，自引：0，他引：2
提出了用十进制遗传算法识别泰斯模型参数的方法和步骤,并给出了计算实例。本方法和传统的配线法与高斯牛顿法相比,具有更好的确定性和更高的精度。十进制遗传算法的主要优点在于采用十进制编码表达实际问题比较简单,算法的平均效率高,特别是对于高维和复杂优化问题。 相似文献
19.
A numerical approach is presented for the ‘identification’ (or back calculation) of the earth pressure acting on embedded or retaining structures. The procedure is applicable to structures of any shape and requires a set of in situ measurements that may include displacements of points on the structure, values of concentrated forces, values of distributed loads at some locations, etc. Possible limiting values of the unknown loads, non-linear structural behaviour, varying accuracies of the input data are accounted for in the problem formulation. Depending upon the type of problem, the solution is reached by means of the unconstrained or constrained minimization of a suitably defined error function. As an example, the proposed approach is applied to the identification of the earth pressure acting on some typical geotechnical engineering structures. 相似文献
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以大量钻孔煤心化验成果及煤岩鉴定特征资料为基础,通过分析研究,利用各煤层煤的灰份、镜质组份指标的差异性进行煤层对比,很好地解决勘查中各煤层的编号归属. 相似文献