估计一个油田的渗透率张量遥感-地球科学堆栈交换江南电子竞技平台江南体育网页版 最近30从www.hoelymoley.com 2023 - 07 - 10 - t19:32:01z //www.hoelymoley.com/feeds/question/363 https://creativecommons.org/licenses/by-sa/4.0/rdf //www.hoelymoley.com/q/363 22 油田的估算渗透率张量遥感 保罗 //www.hoelymoley.com/users/154 2014 - 04 - 19 - t16:40:12z 2014 - 11 - 19 - t12:42:42z < p >我工作很多与数值方法来解决在多孔介质多相流油的应用程序。在我们的领域中,我们经常用达西定律即流量负压力梯度成比例的因素称为渗透。一般来说,磁导率不是一个常数,而是一个张量。这意味着一个方向的压力梯度可能诱导流正交方向。< / p > < p >在实验室,渗透率张量通过诱导控制流动压力梯度和测量结果。在一个油田,我们当然可以诱发压力梯度,但它更难以控制的所有参数。是有办法渗透率场使用远程传感器和地球物理反演? < / p > //www.hoelymoley.com/questions/363/-/390 # 390 12 答案由MyCarta估算渗透率张量遥感的一个油田 MyCarta //www.hoelymoley.com/users/144 2014 - 04 - 21 - t15:45:48z 2014 - 04 - 23 - t14:46:10z < p >我记得一个评论这罗德尼·卡尔弗特的视频讲座的赛格杰出讲师讲座”的见解和方法4 d水库监测和特征”:< a href = " http://shop.seg.org/OnlineStore/ProductDetail/tabid/177/Default.aspx?ProductId=1842 " > http://shop.seg.org/OnlineStore/ProductDetail/tabid/177/Default.aspx?ProductId = 1842 < / > < / p > < p >评论指的是观察一个压力变化的可能性面前穿过水库(相对于流体staturation变更前)如果要执行密切重复时间推移地震调查(调查之间可能几天,而不是几个月),在开发的早期阶段。当然昂贵但将允许比放置在复杂的水库。< / p > < p >有一些参考这本书的第二章:http://library.seg.org/doi/book/10.1190/1.9781560801696 < a href = " http://library.seg.org/doi/book/10.1190/1.9781560801696 " > < / > < / p > < p >但如果我记得,评论的视频讲座具体得多。worht一试,当然是伟大的无论如何。< / p > < p > < / p > < p >更新以下评论和回顾一些参考资料。磁导率的问题是,这是一个多尺度性质。你得到不同的估计(例如,不同的关系,孔隙度)在不同尺度(如孔隙、板、床、地物的形成,和油藏尺度)。所面临的挑战是将渗透在所有尺度和化合物主要由两个事实:1)在某一尺度测量渗透率静态,在其他尺度动态;和2)在某一尺度渗透率不是捕获/代表任何测量(例如bedset规模,规模大于核心但往往不能很好地捕捉到有线日志数据)。

My advice to you would be to get this book by Patrick Corbett, the go-to guy in the field: http://library.seg.org/doi/book/10.1190/1.9781560801597. It is about 90 pages and it guides you through the whole process, with measurements, modeling, testing at all scales, topped by an excellent example of integration at all scales in chapter 6. I worked through the book and several of the reference papers 3 years ago, for personal knowledge, and it was great.

From a quick review last night I'd say one very important tool is Petrotyping, as defined in the book. The full work is in reference paper Corbett and Potter, 2004, Society of Core Analysts paper SCA2004-30. This paper defines Hydraulic Units as representative volume elements where geological, petrophysical, hydraulic properties are predictable and different from those in other units. Each unit is defined by a Flow Zone Indicator (FZI) (defined in the paper). A relationship is intorduced in the paper relating permeability to porosity via FZI. With this relationship a set of lines of constant FZI can be used as a template in a porosity (decimal) - permeability (log) plot to assess Global Hydraulic Elements in the reservoir. A Global Hydraulic Element is an element where the relationship between porosity and permeability is unique. If you are lucky your reservoir (for example a chalk reservoir, one of the examples in Corbett's book) has a single Global Hydraulic Element, in essence a single rock type of uniform properties. In this case you could go relatively easily from a static geomodel of reservoir facies modeled at the reservoir scale (and constrained with seismic inversion for acoustic impedance or porosity, ideally stochastically) to permeability at the scale of your lab measurements - you would be using also well tests (drill stem tests, production tests) and Lorentz plots. In the case of a developed field you may also integrate dynamic simulations and time laps (4D) seismic data (linekd to saturation and/or geomechanic changes introduced in the reservoir by production).

If there are multiple GHEs, then the work of predicting at core plug scale, upscaling, validating with dynamic testing, and extending to the reservoir scale is more complicated (but still possible).

I really recommend the book.
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