The objective of this work is to highlight wireline straddle-packer microfrac testing is an underutilized technology today by the oil and gas industry despite these tests have evolved significantly in the last 10 years. This work also summaries the technological improvements and latest advances of microfrac service deployment in addition to share the future of in-situ reservoir stress monitoring from fiber-optic Distributive Strain Sensing (DSS).
Over 500 microfrac tests and more than 30 decades of stress testing data are compiled and analyzed from science and data-collection pilot wells drilled around the world. The number of pressure tests collected by the industry is estimated by Baker Hughes’ database and competitor’s market share to compare the substantial difference between the number of reservoir pressure points and microfrac stress test collected every year for the last decade. Machine learning algorithms predict tectonic strain values to match microfrac formation breakdown and fracture closure using basic rock elastic properties to calculate the static stiffness of the formations where the stress tests are obtained.
The microfrac success rate has increased from 20% to 85% in the last decade thanks to upgraded straddle packer tool capabilities and improved operational practices. The formation breakdown pressure data consistently indicates higher level of uncertainty than reservoir pore pressure. However, the industry collects several orders of magnitude more pore pressure points than microfrac stress tests every year. Possibly, this is the consequence of using basic effective in-situ stress ratio models by geomechanics practitioners that requires few calibration points from leak-off tests or borehole breakout modelling. This practice could treat microfracs as a nice-to-have calibration data rather than an essential subsurface tectonic stress information. A significant increase in microfrac testing is observed during the US shale gas revolution in order to calibrate stress profile models where basic effective stress ratio models failed to predict a lithology-dependent stress contrast between pay and non-pay intervals. The data shows the importance of using microfrac tests to calibrate subsurface tectonic strain values and predict accurate hydraulic fracture containment.
The predicted tectonic strain data from microfrac testing shows values between 0.05 to 1.2 mStrain which can also be detected with current fiber optic technology using two centimeter grading and capable of detecting two micrometers of deformation. This new distributed strain sensing technology can be implemented to detect changes of stress and strain as the reservoir is developed by producer and injector wells. This technology may be the future of stress monitoring at the reservoir scale.