Energy Transition International Inc.
  • Home
  • Technology & Patents
  • Solutions & Sectors
  • Projects & Case Studies
  • Partnerships
  • Investor Information
  • ESG & Impact
  • About us
  • Contact us
  • Glossary of Terms
Energy Transition International Inc.
  • Home
  • Technology & Patents
  • Solutions & Sectors
  • Projects & Case Studies
  • Partnerships
  • Investor Information
  • ESG & Impact
  • About us
  • Contact us
  • Glossary of Terms

CASE STUDY: HEAVY OIL EOR

EOR Case Study: Mapping Steam & Flood Fronts with CSEM

In heavy-oil EOR (steamflood / waterflood), the biggest operational blind spot is the position of the steam or water front between wells. ETI uses Controlled-Source Electromagnetics (CSEM)—designed with 3D feasibility + noise testing and calibrated to well logs—to image fluid/temperature changes away from the wellbore, enabling faster optimization of injection strategy/costs and lower recovery risk. 


The problem EOR teams face

Steam and injected water change the reservoir quickly, but most measurements are either:

  • near-wellbore only (production data, and well logs), or
  • expensive and not fluid-specific enough day-to-day steering.

ETI’s workflow targets exactly what matters in EOR:

  • Where is the front now?
  • Is it sweeping uniformly or selectively?
  • Is it moving out of zone (caprock risk / thief zones)? 


Why CSEM is a good fit

CSEM is sensitive to electrical resistivity, which changes strongly during EOR with varying water/oil saturation in the reservoir fluid:

  • Steam/temperature effects can drive large resistivity changes (~150 % resistivity change for a 100 °C temperature increase). 
  • Flooded zones (brine/water) tend to be more conductive, while oil-rich zones tend to be more resistive, so the EM response changes as the front moves. 

ETI workflow

1) Feasibility first (risk & cost control)

Before field deployment, ETI/KMS runs a 3D feasibility study constrained by:

  • resistivity logs (including anisotropy when available),
  • seismic horizons (reservoir boundaries),
  • expected EOR variations (steam/water saturation + temperature),
  • and measured field noise. 

In >50 % of evaluated cases, feasibility shows the anomaly is too small—so feasibility is the gate that prevents wasted surveys. 


2) Design the right measurement (not a generic EM survey)

The workflow emphasizes measuring both electric and magnetic fields because they respond differently:

  • Magnetic fields tend to be more sensitive to conductive strata / water movement.
  • Electric fields are crucial to resolve fluid changes inside the heavy-oil reservoir. 
  • High frequenciess respond to the shallow part of the surface and low frequencies to the deeper strata.


3) Integrate surface + borehole measurements

For steam/CO2 flood monitoring, surface and borehole data must be integrated, including surface-to-borehole geometries and calibration to conventional logs (and anisotropy where possible). 


4) Improve focus and repeatability with array processing

To deal with noise and improve spatial focus, the workflow adds:

  • differential measurements for highlighting specific volumes,
  • array processing for noise rejection,
  • and multi-frequency sensing for shallow, medium and deep targets. 


Three-dimensional modeling results show that conventional anomalies (~10–40 %) can be significantly improved with differential measurements (~40–200 % anomaly range), thus enhancing detectability and spatial resolution. 

Where cased-hole resistivity fits (practical EOR reality)

In many mature EOR fields, open-hole logs are unavailable for repeat monitoring. ETI's through-casing resistivity logging progressed into field applications and can support:

  • reservoir monitoring,
  • bypassed reserve evaluation,
  • environments where open-hole logs can’t be recorded


CSEM provides interwellbore-scale imaging, while cased-hole resistivity provides well-scale truth and change detection, together strengthening the monitoring loop.

Benefits to an EOR operator

1) Better sweep efficiency
Identify channeling versus uniform sweep and adjust injection rates/patterns earlier.

2) Faster diagnosis, fewer “guess” wells
Reduce uncertainty-driven infill drilling and workovers.

3) Quantify movement away from wells
CSEM extends visibility beyond the near-wellbore zone.

4) Lower monitoring cost vs repeating seismic
EM is faster and less expensive than seismic for this fluid-imaging task. 

5) Risk reduction
Pair EM fluid imaging with microseismic where seal integrity is a concern.

References

  1. Passalacqua, H., P., Boonyasaknanoon and K., Strack, 2016, Integrated Geophysical Monitoring for Heavy Oil, Heavy Oil Conference Kuwait, SPE-184089-MS, doi: 10.2118/184089-MS 
  2. Zhou, Q., D., Julander and L., Penley, 2002, Experiences with Cased hole Resistivity Logging for Reservoir Monitoring, SPWLA Paper X, SPWLA 43rd Annual Logging Symposium, Jun. 2-5, 2002. 

Copyright © 2026 Energy Transition International Inc. - All Rights Reserved.

Powered by

  • About us
  • Contact us

This website uses cookies.

We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.

Accept