1 edition of **A laboratory model study of waterflood behavior in linear systems** found in the catalog.

- 223 Want to read
- 39 Currently reading

Published
**1962**
by University of Alberta in Edmonton, Alta
.

Written in English

- Oil field flooding,
- Electromechanical analogies,
- Academic Dissertations

**Edition Notes**

Masters thesis (Petroleum engineering) -- University of Alberta, 1962 -- Includes bibliography

Statement | by H. Maguss |

Contributions | Alberta Research Council |

The Physical Object | |
---|---|

Pagination | 1 v. (various pagings) : |

ID Numbers | |

Open Library | OL26631425M |

OCLC/WorldCa | 65897064 |

Conclusions •Flow in these waterflooded fields is controlled by two components; –Waterflood Hydraulic Induced Fractures (not NFR) –Matrix •Examining the early water breakthrough plots and injection pressures and rates indicates the presence of fracture flow at early times –P inj≈ P frac extension •At late times, good reservoir management and shear failure fracture. Initial field studies concerned recovery of waterflood residual oil. Well-to-well field tests have given increased recovery. Low salinity flooding has now progressed to application in new reservoirs at the outset of water injection. (can sometimes be planned in conjunction with treatment of brine by membrane separation to avoid reservoir souring).

For a system with two masses (or more generally, two degrees of freedom), M and K are 2x2 matrices. For a system with n degrees of freedom, they are nxn matrices.. The spring-mass system is linear. A nonlinear system has more complicated equations of motion, but these can always be arranged into the standard matrix form by assuming that the displacement of the system is small, and linearizing. The user‘s guide entitled “Water Distribution System Analysis: Field Studies, Modeling and Management” is a reference guide for water utilities and an extensive summarization of information designed to provide drinking water utility personnel (and related consultants and researchers) with some guidelines for performing distribution system evaluations.

Linear System Theory In this course, we will be dealing primarily with linear systems, a special class of sys-tems for which a great deal is known. During the ﬁrst half of the twentieth century, linear systems were analyzed using frequency domain (e.g., Laplace and z-transform). For a clinical chemistry lab, for example, value-added steps might include drawing the sample (or receiving the sample), centrifuging, analysis, and release of results. To streamline a lab’s processes and improve efficiency and productivity, the goal is to eliminate as many of the remaining non-value-added steps as possible.

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Table 1 —Model study’s some authors reported nonlinear behavior of Both plots can be applied for the diagnostic analysis of waterflood reservoirs. Model and field case studies show the. Model and field case studies show the benefits of this technique as a production-decline-analysis tool in forecasting the waterflood production decline and the ultimate oil : Zhengming Yang.

@article{osti_, title = {Analytical method to estimate waterflood performance}, author = {Cremonini, A S}, abstractNote = {A method to predict oil production resulting from the injection of immiscible fluids is described.

The method is based on two models: one of them considers the vertical and displacement efficiencies, assuming unit areal efficiency and, therefore, a linear flow. With this model, the degree of stratification can be measured by several parameters based on core-analysis data.

Among these are the Lorenz coefficient and the variation of a log-normal permeability distribution. The behavior of stratified systems is usually predicted by the Stiles, Dykstra-Parsons method or some modification of these. Such studies can shed light on the root cause of the poor waterflood response of a specific producer.

In the recent years, interwell connectivity methods gain considerable attention, as testified by the contributions of Albertoni (), Yousef et al. (), Dinh and Tiab (), Kaviani (), and Sayarpour et al. (a and b).Cited by: Laboratory information management systems belong to the class of application software intended for storage and management of information obtained in the course of the work of the laboratory.

Front stability can be studied using linear stability analysis. The effect of mobility and gravity on frontal advance can be studied using a flow model of an oil reservoir waterflood.

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For the purpose of the modelling study, laboratory data which have been obtained from triaxial experiments conducted on porous sandstone samples [1] were used. Calculation of Linear Waterflood. The aim of the paper is to develop a mathematical model for waterflooding at high velocities in short cores under laboratory conditions.

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Model studies also showed that over the range of imposed injection pressure differences and regional pressure gradients normally encountered in field operations, there was no effect on the recovery efficiency of a five-spot pilot waterflood.

Model studies of single injection well pilot waterfloods showed that with no initial gas saturation, the. @article{osti_, title = {Comparison of laboratory and in-situ measurements of waterflood residual oil saturations for the Cormorant field}, author = {van Poelgeest, F and Niko, H and Modwid, A R}, abstractNote = {Shell Expro and Koninklijke/Shell E and P Laboratorium (KSEPL) have been engaged in a multidisciplinary effort to determine the water flood residual oil saturation (ROS) in two.

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The laboratory waterflood test is an attempt to represent the linear displacement behavior of the oil/water/reservoir-rock system. The wettability properties of the rock system should be preserved properties of the rock system should be preserved in the laboratory core sample if .,three-dimensionalmodelscomposed of tens of thousands of pores and hundreds of pore sizes can be imaginedwhere the transient effects leading tothestatic equilibrium and steady state end.

The aim of this study is to optimize waterflooding from a case study model using reservoir simulation techniques. A simple optimization methodology involving the analysis of the effects of zones of production and injection, pattern of waterflood selected and number/type of producers and injectors on cumulative recovery from a waterflooded.