MWF™

MWF™

Measurements While Fracturing

What's MWF?

Real-time Quality Control Agent for Fracturing

Seismos MWF™ extends beyond fracture diagnostic technologies, displacing the need for fiber optics by introducing a plug-and-play system that seamlessly connects to the wellhead and uses acoustics and AI to continuously monitor each stage's stimulation performance. 



Operational advantages: 

No need for fiber optics


1502 connection to wellhead


real-time

Continuous monitoring behind the scenes 


creative-idea-solution

Real-time prompts 


 

Applications

Can't improve what isn't measured

The Seismos MWF ™ (Measurements While Fracturing) Quality Control system embeds a one-of-a-kind measurement referred to as NFCI (Near Field Connectivity Index). NFCI is a patented measurement of the reciprocal of flow resistance (NFCI = 1/flow resistance) in the near wellbore area. The higher the NFCI, the higher the ability of the fracture network in the near field (near wellbore) area to allow hydrocarbon inflow into the wellbore. 

Maximize near wellbore stimulation 

Identify optimal/suboptimal connected fracture systems

Understand far field fracture geometry

Influencers

NFCI sensitivities to stimulation treatment, geology,

and stress interactions

A critical advantage and differentiator of NFCI is the high sensitivity to critical parameters such as stimulation treatment, geology, stresses, and number of clusters taking fluid.



Below are some examples visualizing such differences:

Treatment

Varying stimulation design parameters (cluster design, perforation design, stage spacing, and so on) has a material effect on fracture system properties, and how such changes in fracture system properties are captured by the NFCI measurement.

Geology

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Geology

The following image demonstrates the NFCI's ability to reflect on fracture system differences caused by subtle geology changes across the lateral (in this case, a well transitions from the Upper Austin chalk to the Lower Austin chalk). Such geological changes (whether from stage to stage or from well to well) frequently result in distinctly different fracture system properties. NFCI indicates a much better connection between the wellbore and the extended reservoir with increased brittleness at the Upper Austin Chalk lateral section.

Offset Stresses

The example below depicts the completion of a two-well zipper and the transition (for one of the two wells) from an unbounded to a bounded section. As the fracture systems approach each other - at the bounded section - NFCI demonstrates high sensitivity to fracture-driven interactions which is reflected on a consistent oscillating behavior of the NFCI values (as also visualized by the white spheres on the above visual). The proper sequencing of stimulation stages across the zipper can help reduce the overall stress interaction and ensure NFCI uniformity across both laterals.

FEATURES 5

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Active Clusters

NFCI reflects on the number of clusters taking fluid. A cross correlation to camera data (capturing cluster erosion) shows that as more clusters take fluid, NFCI values increase proportionally, indicating a better connection between the wellbore and the extended fracture system.

Treatment

Geology

pulse

Offset Stresses

Active clusters

Features

Turning each well into a winner

 

Establish maximum Near-Field Connectivity on a uniform stage-to-stage basis

1. Adjust frac sequence to control stress interactions
2. Establish sufficient connectivity to the reservoir
3. Enable lateral stimulation consistency
Evaluate completion designs (perf/cluster, limited entry etc) that can ensure maximum Near Field Connectivity often leading to Cost Savings!
Ensure that all stages are significant contributors to production by monitoring completions performance in real-time

Resources

Hydraulic fracture conductivity inferred from tube wave reflections

SEG 2019

Real-Time Hydraulic Fracture Optimization Based on the Integration of Fracture Diagnostics and Reservoir Geomechanics

URTeC 2020

Multi-Basin Case Study of Real-Time Perforation Quality Assessment for Screen Out Mitigation and Treatment Design Optimization Using Tube Wave Measurements

ATCE 2020

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