Neuro-evolutionary event detection technique for downhole microseismic surveys
A new pick refinement method is proposed for downhole microseismic surveys. Method uses GA on sparse, reasonably accurate picks to identify optimal arrival. Arrivals predictable due to expected moveout behavior with downhole receivers. Improves applicability and available detected events for further processing.
event detection downhole microseismic hydraulic fracturing neural network evolutionary algorithm autopicking