Petroleum Science >2014,??Issue 2:??265-271 DOI: https://doi.org/10.1007/s12182-014-0339-0
On the uncertainty of interwell connectivity estimations from the capacitance-resistance model Open?Access
文章信息
作者：Gustavo A Moreno and Larry W Lake
作者單位：
YPF, Macacha Güemes 515, Buenos Aires, Argentina YPF-Tecnología, Baradero S/N, (1925), Ensenada, Buenos Aires, Argentina Center for Petroleum and Geosystems Engineering, University of Texas at Austin, Austin, TX, USA;Center for Petroleum and Geosystems Engineering, University of Texas at Austin, Austin, TX, USA
投稿時間：2013-04-09
引用方式：Moreno, G.A. & Lake, L.W. Pet. Sci. (2014) 11: 265. https://doi.org/10.1007/s12182-014-0339-0
文章摘要
The capacitance-resistance model (CRM) is an alternative to conventional reservoir simulation. CRM, a simplification of complex numerical models, uses production and injection rates to infer a reservoir description. There is no prior geologic model. The principal output of CRM fitting is the fraction of injected fluid (usually water) that is produced at a producer at steady-state. These fractions are interwell connectivities. Interwell connectivities are fundamental information needed to manage waterfloods in oil reservoirs. The data-driven CRM is a fast tool to estimate these parameters in mature fields and allows one to make full use of the dynamic data available. This paper considers the problem of setting an upper bound on the uncertainty of interwell connectivities for linear-constrained models. Using analytical bounds and numerical simulations, we derive a consistent upper limit on the uncertainty of interwell connections that can be used to quantify the information content of a given dataset.
關鍵詞
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Data-driven models, capacitance-resistance model, secondary recovery, waterflood optimization, interwell connectivities