DNA Diagnostics Workflow

Converting subsurface microbes into easy to consume data.


Rock Sample

Our proprietary process for extracting DNA from low biomass samples is utilized to create the baseline for all zones of interest. We can extract microbial DNA from either wet well cuttings or core samples, and our process works well with either oil-based or water-based mud systems.

Fluid Samples

Fluid samples are collected at the first access point at the surface, typically the wellhead or the separator. Depending upon which Biota answer products are desired, samples of frac fluids or injected fluids may also be included in the collection and analysis process.

DNA Stratigraphy Log

The baseline reference for fluid to rock analyses

QA/QC Information

Stringent process controls and associated QA/QC information build the foundation for repeatable and reliable analysis. Key parameters evaluated and provided include Biomass and Subsurface Signal Strength vs Background Signal Strength.

Analysis foundation

Tracking of fluid origin and fluid movement finally is enabled by determining unique DNA markers and their relative abundance at any given sampling depth and calibration with formation tops and petrophysical logs to relate depths to known geologic intervals.

DNA stratigraphy with formation tops, petrophysical logs, QA/QC information and DNA markers

Total Fluid Log (TFL)

Tracking the origin of produced fluids

DNA markers and their respective abundances in various fluid samples are, using proprietary data science methods, compared with the previously obtained DNA Stratigraphy to provide probabilistic total fluid (water+oil) contributions from the sampled formations. This analysis can indicate contributions from either above or below the well’s landing zone.

Total fluid logs for 3 wells with map view, gun barrel view and integration with petrophysical logs and production data

Fluid-Fluid Analysis (FFA)

Understanding well-well connectivity

Fluid-Fluid Analysis is the primary analysis employed to determine whether there is or is not connectivity between wellbores, and by extension, whether they both produce from the same rock volume.

Principle Coordinate Analysis (PCOA) is the underlying data science approach for comparison of multiple produced fluid samples.

Fluid-Fluid analysis shows the well to well contributions as well as changes over time at the pad level

Learn More