Event Detection Using DAS Features with Machine Learning

Abstract

A method of identifying events includes obtaining an acoustic signal from a sensor, determining one or more frequency domain features from the acoustic signal, providing the one or more frequency domain features as inputs to a plurality of event detection models, and determining the presence of one or more events using the plurality of event detection models. The one or more frequency domain features are obtained across a frequency range of the acoustic signal, and at least two of the plurality of event detection models are different.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This application claims the benefit of and priority to International Application No. PCT / EP2018 / 082985 filed Nov. 29, 2018 with the European Receiving office and entitled “DAS Data Processing to Identify Fluid Inflow Locations and Fluid Type” as a foreign priority claim, where such application is hereby incorporated herein by reference in its entirety for all purposes.BACKGROUND[0002]Within a hydrocarbon production well, various fluids such as hydrocarbons, water, gas, and the like can be produced from the formation into the wellbore. The production of the fluid can result in the movement of the fluids in various downhole regions, including within the subterranean formation, from the formation into the wellbore, and within the wellbore itself. For example, some subterranean formations can release water that can be produced along with the hydrocarbons into the wellbore. Such water inflow can cause a number of problems including erosion, cl...

AI Technical Summary

Benefits of technology

This patent describes a method and system for identifying events using acoustic signals. The method involves obtaining an acoustic signal from a sensor, determining one or more frequency domain features from the signal, and providing these features as inputs to multiple event detection models. The event detection models identify the presence of events using these features. The system includes a processor and memory to execute the analysis program. The invention has technical advantages over previous devices, systems, and methods, including improved accuracy and reliability in identifying events. Additionally, the invention allows for the use of different fluid flow models to better understand the characteristics of the acoustic signals.

Problems solved by technology

Such water inflow can cause a number of problems including erosion, clogging of wells due to resulting sand inflow, contamination and damage of the surface equipment, and the like.

Significant water production can result in the need to choke back production from the well to bring water production down to acceptable levels.

This can lead to reduced oil production, and potentially result in a deferral of substantial amounts of the production from the well.

Thus, the data at times can be skewed by variability in flow regime caused by the intrusive nature of the measurement.

Further, the flow can be altered by the presence of the PLS tool, such that what is measured at the downstream end of the tool may not be indicative of what the flow profile or flow regime was before the tool disturbed the flow.

Thus, the use of PLSs has a number of limitations.

These systems have limitations on the extent and types of detection that are available for security purposes.

Similar challenges exist in other industries as well.

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