I-geosensing fracture diagnostic I-GSFD for fast processing of the smart microchip proppants data

I-geosensing fracture diagnostic I-GSFD for fast processing of the smart microchip proppants data

Geometry

Fracture

Petroleum reservoir engineering

Boreholes

Oil field equipment

Petroleum reservoirs

Stochastic systems

Oil well logging

Proppants

Microprocessor chips

Unconventional oil and gas reservoir development requires an understanding of the geometry and complexity of the hydraulic fractures. The current categories of fracture diagnostic approaches include methods for near-wellbore (production & temperature logs, tracers, and borehole imaging) and far-field techniques (micro-seismic fracture mapping). These techniques provide an indirect and interpreted fracture geometry. Therefore, none of these methods consistently provides a fully detailed and accurate description of the characteristic of the subsurface hydraulic fractures. This study proposes a novel approach that uses direct data from the injected fine size (proppant Mesh size equivalence) and battery-less, Smart MicroChip Proppants (SMPs), to map the fracture geometry. This novel approach enables direct, fast, smart, and real-time processing of the received high-resolution geo-sensor data from the SMPs collected in high pressure and high-temperature environment and maps the fracture network using the proposed i-Geosensing Fracture Diagnostic (i-GSFD), which is a closed-loop architecture. i-GSFD is based on multi-dimensional projection unsupervised clustering, and integrated Bayesian optimizer to control the stochastic nature of any components in the loop. 2021, Society of Petroleum Engineers

2021-September

SPE Annual Technical Conference and Exhibition 2021, ATCE 2021, September 21, 2021 - September 23, 2021

2021

Pham, Vuong

Dahaghi, Amirmasoud

Negahban, Shahin

Fincham, William

Babakhani, Aydin

conferencePaper

26386712

10.2118/206196-MS