Hydraulic fracture geometry characterization based on distributed fiber optic strain measurements: Modeling and Field Data for Unconventional and Geothermal Wells | 1 Edition

Details about Hydraulic fracture geometry characterization based on distributed fiber optic strain measurements: Modeling and Field Data for Unconventional and Geothermal Wells:

Fiber optic-based measurements are innovative tools for the oil and gas industry to utilize in monitoring wells in a variety of applications including geothermal activity. Monitoring unconventional reservoirs is still challenging due to complex subsurface conditions and current research focuses on qualitative interpretation of field data. Hydraulic Fracture Geometry Characterization from Fiber Optic-Based Strain Measurements delivers a critical reference for reservoir and completion engineers to better quantify the propagation process and evolution of fracture geometry with a forward model and novel inversion model.

The reference reviews different fiber optic-based temperature, acoustic, and strain measurements for monitoring fracture behaviors and includes advantages and limitations of each measurement, giving engineers a better understanding of measurements applied in all types of subsurface formations. Stress/strain rate responses on rock deformation are given a holistic approach, including guidelines and an automatic algorithm for identification of fracture hits. Last, a novel inversion model is introduced to show how fracture geometry can be used for optimization on well placement decisions. Supported by case studies, Hydraulic Fracture Geometry Characterization from Fiber Optic-Based Strain Measurements gives today’s engineers better understanding of all complex subsurface measurements through fiber optic technology.

• Examine the basics of distributed fiber optic strain measurements
• Conduct a detailed analysis of strain responses observed in both horizontal and vertical monitoring wells
• Present a systematic approach for interpreting strain data measured in the field
• Highlight the significant insights and values that can be derived from the field measured strain dataset
• Support monitoring and modeling for subsurface energy extraction and safe storage