Oilfield Data Analysis

Most assets have in place information systems that collect and store large amounts of oilfield operating data relating to production from individual wells such as hydrocarbon and water flow rates, measurements from plant instrumentation and well test results. In brownfields the data typically stretches back over many years of operation and represents a huge repository of asset operating experience but it many sites it is a relatively under utilised resource.

KPS can help you unlock the value in this data with the Oilfield Data Analyser and its unique Event Associations technology. Our product rapidly analyses historic reservoir production and measurement data and automatically derives well to well interaction patterns such as the level of injector support for producer wells identifying for example those injectors not contributing towards production or production wells cycling injected water.

Event Association Technology

Event Associations provide a way of systematically analysing many thousands of records of data and automatically discovering patterns and relationships between variables. The first step in applying the technology is to define events of interest in the production data, such as sustained changes in production rate from a well or a sustained increase or reduction in water injection.

Oilfield Data Analysis Architecture

Event Associations then quantifies the amount of time that one event occurs in relation to another. For example we may identify that 80% of the time that the water injection rate into an injector well is decreasing then the production rate from a neighbouring well is also decreasing. Furthermore we can also identify the time delay between the two events occurring, so in the previous example it maybe that the decrease in production rate occurs on average 8 weeks after the decrease in water injection rate.

Advantages

Some type of analysis of production data may already be carried out manually by an asset engineer but typically on an ad hoc basis. Event Associations provides a rapid and cost effective approach to analysing all available data that may stretch over many years to identify potential interactions between wells.

Results

The results are independent of any simulation model of the reservoir and through further understanding of interactions between wells can help you increase production and reduce injection costs through more effective water injection and maintenance of existing wells. The approach is of benefit to fields where the impact of water injection is not well understood or there are issues with the existing reservoir model. We have achieved successful results applying the technology to both daily production data for wells with gas lift and wells with more extensive downhole instrumentation and ESP pumps.

 

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