Seismic reflection amplitude versus angle variations over a thermally enhanced oil recovery site

Geophysics ◽  
1991 ◽  
Vol 56 (2) ◽  
pp. 292-301 ◽  
Author(s):  
C. Tsingas ◽  
E. R. Kanasewich

In recent years it has become increasingly important to develop a capability for monitoring enhanced oil recovery (EOR) processes as they are occurring within any reservoir. An amplitude‐versus‐angle (AVA) analysis over a steam injection location showed encouraging results and established that seismic reflection methods, when well designed and carefully processed, can be used to map the invaded steam zones in steam stimulation EOR operations. The results are imaged on a new type of display called ARPA (amplitude‐ratio for partial angle), which illustrates reflection zones with low or high Poisson’s ratio or equivalently high or low gas saturation with a CMP stack section plotted as the background. A seismic experiment consisting of three reflection lines was carried out by Esso Resources in February, 1984 over a steam injection site near Cold Lake, Alberta. Analysis of the field data showed that large variations in reflected scattered energy were a function of angle of incidence in areas affected by the steam zone.

First Break ◽  
1996 ◽  
Vol 14 (3) ◽  
Author(s):  
F. Kalantzis ◽  
E.R. Kanasewich ◽  
A. Vafidis ◽  
A. Kostykevich

2014 ◽  
Author(s):  
C. L. Delgadillo-Aya ◽  
M.L.. L. Trujillo-Portillo ◽  
J.M.. M. Palma-Bustamante ◽  
E.. Niz-Velasquez ◽  
C. L. Rodríguez ◽  
...  

Abstract Software tools are becoming an important ally in making decisions on the development or implementation of an enhanced oil recovery processes from the technical, financial or risk point of view. This work, can be manually developed in some cases, but becomes more efficient and precise with the help of these tools. In Ecopetrol was developed a tool to make technical and economic evaluation of enhanced oil recovery processes such as air injection, both cyclic and continuous steam injection, and steam assisted gravity drainage (SAGD) and hot water injection. This evaluation is performed using different types of analysis as binary screening, analogies, benchmarking, and prediction using analytical models and financial and risk analysis. All these evaluations are supported by a comprehensive review that has allowed initially find favorable conditions for different recovery methods evaluated, and get a probability of success based on this review. Subsequently, according to the method can be used different prediction methods, given an idea of the process behavior for a given period. Based on the prediction results, it is possible to feed the software to generate a financial assessment process, in line with cash flow previously developed that incorporates all the elements to be considered during the implementation of a project. This allows for greater support to the choice or not the application of a method. Finally the tool to evaluate the levels of risks that outlines the development of the project based on the existing internal methodology in the company, identifying the main and level of criticality and define actions for prevention, mitigation and risk elimination.


2019 ◽  
Vol 239 ◽  
pp. 1190-1211 ◽  
Author(s):  
Xiaohu Dong ◽  
Huiqing Liu ◽  
Zhangxin Chen ◽  
Keliu Wu ◽  
Ning Lu ◽  
...  

2014 ◽  
Vol 2 (2) ◽  
pp. SE47-SE54
Author(s):  
J. Helen Isaac ◽  
Don C. Lawton

We processed, interpreted, and analyzed experimental time-lapse converted-wave 2D-seismic reflection data that were acquired across a bitumen field undergoing cyclical steam injection and production at Cold Lake, Alberta, Canada. The purpose was to assess whether multicomponent-seismic data could be used to detect lateral and/or temporal changes caused by steam injection into the reservoir. We interpreted horizons on PP and PS sections that bracket the reservoir, and calculated [Formula: see text] over this interval. Away from the steam injection wells, [Formula: see text] values average [Formula: see text] during steaming and production and are close to the theoretically predicted value of 2.21 for a cold reservoir. Near the wells, [Formula: see text] is lower during steam injection than during production, averaging [Formula: see text], and the lowest values are observed close to the injection wells. We attributed the changes in [Formula: see text] to changes in the reservoir caused by the injection of steam.


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