Analysis of the results of tracer tests for the monitoring of the development of super-viscous oil deposit

Thermal EOR International Workshop III: "Thermal Methods for Enhanced Oil Recovery: Laboratory Testing, Simulation and Oilfields Applications"

Shipaeva, M.S.^1 ; Sudakov, V.A.^1 ; Akhmadullin, R.R.^2

Institute of Geology and Petroleum Technologies, Kazan Federal University, Kazan, Russia^1

PJSC, Department of Extra-viscous Oil Production, Almetyevsk, Russia^2

关键词: Field development;    Filtration resistance;    Fluorescent indicators;    Geological structures;    Hydrodynamic model;    Production wells;    Sample processing;    Steam injection wells;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/282/1/012042/pdf
DOI  :  10.1088/1755-1315/282/1/012042

来源: IOP

【 摘 要 】

The article describes the results of implementation tracer studies at one of the super-viscous oil deposits in the Republic of Tatarstan. Accurate information on the flow of liquid in oil deposits is absent, this is an obstacle to the successful development of such deposits. The information obtained as a result of tracer studies is an addition to the general history of field development and is used to reduce uncertainties in the construction of geological and hydrodynamic models of deposits. The main tasks were the determination of the hydrodynamic connection between the wells along channels with low filtration resistance, the determination of the filtration rates of the condensate in the reservoir and the heterogeneity of the reservoir in the inter-well space of the investigated section of the oilfield. In order to determine the quality of the hydrodynamic connection within the bituminous deposit, the geological structure, as well as the direction of the filtration streams, a solution of the chemical eosin indicator was pumped into one of the steam injection wells, followed by registration in the samples of the surrounding production wells. To detect fluorescent indicators in the wells, unique equipment was used that significantly reduces the previous sample processing and detection time.