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PowerLog

Powerful Petrophysics & Rock Physics

Where Petrophysics meets Rock Physics

PowerLog delivers intuitive and comprehensive petrophysical technology for the industry’s toughest interpretation challenges. Interpret thousands of wells at once with interactive viewers and processors while accessing a robust Python Ecosystem for the latest machine learning solutions. PowerLog empowers geoscientists to develop and refine petrophysical interpretations and rock physics models interactively, ensuring accurate and thorough results.

Solving Key Industry Challenges

Oil companies rely on precise log evaluations for timely and accurate well-completion determinations. PowerLog offers the necessary interpretation capabilities and report generation to streamline this time-sensitive decision-making process effectively.

Accurate log evaluations with minimal or historical data are difficult.

  • Data must be easily loaded and categorized
  • Geological information should be integrated
  • Core data must be quickly assimilated

Effective well completions depend on accurate interpretations.

  • Imperative to identify all productive intervals
  • Lithology information is needed for frac design
  • Reserve estimations are required information

Completion and acquisition decisions are time sensitive.

  • Significant risk in asset evaluation for acquisition
  • Acquisitions are often competitive
  • Rig costs are high
  • Frac equipment is expensive to operate

Unlock the Full Potential of Your Data

PowerLog does the heavy lifting so you get more work done.

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Offers user-friendly and intuitive experience suitable for geoscientists of all levels

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Processes thousands of wells simultaneously to determine shale volume, water saturation, lithology and porosity

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Provides geological framework for relevant zone, pay and interval summations

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Takes advantage of open-source Python Ecosystem for advanced machine learning and artificial intelligence

PowerLog Modules

Machine Learning

Rock Physics Module (RPM)

StatMin

FaciesID

Capillary Pressure

Automated Depth Matching

Machine Learning

Machine Learning

Optimize efficiency and conserve resources using machine learning workflows

Harness machine learning tools by connecting your preferred Python distribution to PowerLog and perform in-house advanced processing and interpretation to save your company time and money. Interactive clustering, synthetics, and data analysis workflows read and write directly to a PowerLog project database.

Machine learning in PowerLog enables clearer reservoir understanding and faster, more efficient data analysis so you can predict curves based on existing log data, correlate core analysis to log data, model complex porosity and permeability relationships, and quickly edit logs for data conditioning with automated tools.

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Rock Physics Module (RPM)

Rock Physics Module (RPM)

Improved Interpretation with Rock Physics Modeling

Build accurate rock physics models from log data and petrophysical interpretation results with easy-to-use, collaborative Rock Physics Module (RPM). RPM bridges the gap between PowerLog and other Jason geophysical software applications. This user-friendly module is integrated with PowerLog so you can iterate your petrophysical parameters using rock physics models and improve your petrophysics interpretation for a better understanding of the subsurface.

RPM enables a fundamental modeling approach — a petrophysical rock model is used to derive rock structure information and effective elastic rock properties from fluid and mineral parameters. Users can easily analyze fluid-substitution studies and invasion correction once a rock model is constructed. The rock model also enables prediction of elastic curves for lithology parameters that are not present in the wells.

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StatMin

StatMin

Accurately Calculate Lithology, Mineralogy, Porosity and Fluids

In complex environments, deterministic methods are insufficient. StatMin is a stochastic analysis tool for determining volumes of fluids and minerals and statistical methods for petrophysical analysis of difficult formations. StatMin generates meaningful interpretations in complex lithologies that enable solid decisions for optimum reservoir completions.

StatMin obtains valuable outputs such as porosity, water saturation and quartz, which are key petrophysical parameters needed to make critical completion decisions. It also solves balanced, over-determined and underdetermined models. Under-determined models are more common where insufficient log data is available to compute all the needed minerals in one pass. StatMin provides users multiple methods to solve this challenge and allows for more accurate analysis of these complex reservoirs.

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FaciesID

FaciesID

Fast, Interactive, User-Friendly Facies Classification

PowerLog FaciesID is a user-friendly electrofacies classification tool that allows for the reconstruction of input curves as block curves and performs a quality check of results during the process.

 

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Capillary Pressure

Capillary Pressure

Accurately Interpret and Process Capillary Pressure Data

Geoscientists use the PowerLog Capillary Pressure tool to evaluate well logs and cores from multiple wells and zones to model saturation versus height above free water level (FWL). The resulting analytical expressions relate either connate water saturation to height above FWL (forward modeling), or height above FWL to connate water saturation (reverse modeling). Findings from one well can be applied to other wells in the area, making the process efficient and consistent.

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Automated Depth Matching

Automated Depth Matching

Proven Machine Learning

The innovative machine learning workflow with automated depth matching along with automated curve patch editing uses automated detection of spikes and anomalous data to improve the quality of interpretations and facies analysis while greatly reducing data preparation time ‒  for one well, or hundreds of wells.

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Get In Touch

We are dedicated to providing unique customer-oriented reservoir characterization solutions. Let’s talk about how we can assist you in making the most efficient and accurate decisions.