How does microseismic (MS) acquisition using DAS (Distributed Acoustic Sensing) compare with conventional Downhole or Surface using geophones?…
Using machine learning to estimate the flow of stress from recorded microseismicity during hydraulic fracturing
We explore the connection between microseismicity and stress flow through a machine learning approach that allows for clustering…
Microseismicity-derived fracture network characterization of unconventional reservoirs by topology
The advent of horizontal drilling technology, combined with multistaged hydraulic fracturing to create a complex fracture network within…
Investigation of the impact of depleted zones and completion sequence on hydraulic fracturing performance using microseismic collective behaviour analysis
Through an example in the Midland Basin, we demonstrate how dynamic parameters characterize a complex reservoir response to…
The influence of bedding-parallel fractures in hydraulic fracture containment
The Middle Devonian Marcellus Shale Formation in the Appalachian Basin, which encompasses more than 3.3 trillion tonnes of…
Effectiveness of geometric versus variable shot clusters to stimulate a percolating crack network capable of sustaining flow
The perforation strategy for a hydraulic fracture completion for an unconventional reservoir can have a very large influence…
Integration of SMTI topology with dynamic parameter analysis to characterize fracture-connectivity related to flow and production along wellbores in the STACK play
A number of years ago, there was an appeal to microseismic service providers and end users to go…
Characterizing reservoir behavior with cluster-based microseismic analysis
Microseismic monitoring is increasingly used to describe the extent of hydraulic stimulations in unconventional reservoirs. The key to…