History matching forms an integral part of the reservoir modeling work-flow process. Despite the existence of many history matching tools, the integration of production data with seismic and geological continuity data remains a challenge. Geostatistical tools exists for integrating large scale seismic and fine scale well/core data. A general framework for integrating production data with divers...

This paper was selected for presentation by an SPE Program Committee following review of information contained in an abstract submitted by the authors(s).

Streamlines have proven useful for visualizing and solving complex history-matching problems that enhance reservoir description. This paper presents a novel, multiple-scale streamline-based technique that perturbs the reservoir model in a manner fully consistent with prior geological data. Streamlines define dynamic drainage zones around production wells and the mismatch between historical and ...

History matching is the process of updating a petroleum reservoir model using production data. It is a required step before a reservoir model is accepted for forecasting production. The process is normally carried out by flow simulation, which is very time-consuming. As a result, only a small number of simulation runs are conducted and the history matching results are normally unsatisfactory. I...

Developing an appropriate fix for a software bug often requires a detailed examination of the code as well as generation of appropriate test cases. However, certain categories of bugs are usually easy to fix. In this paper we focus on bugs that can be corrected with a one-line code change. As it turns out, one-line source code changes very often represent bug fixes. Moreover, a significant frac...

Background: Substance abuse is a social, and health problem in Middle Eastern countries such as Iran. One of its most devastating effects is domestic violence against children. This study examined the association between the history of parental substance abuse, and rate of child abuse in Ahvaz, Iran. Methods: This was a case-control study. The study population included all parents with high sch...

We propose a smooth formulation of multiple-point statistics that enables us to solve inverse problems using gradient-based optimization techniques. We introduce a differentiable function that quantifies the mismatch between multiple-point statistics of a training image and of a given model. We show that, by minimizing this function, any continuous image can be gradually transformed into an ima...