Seismic quantitative interpretation

Seismic quantitative interpretation

Trace provides comprehensive services in Quantitative Seismic Interpretation and Reservoir Characterization, guiding projects from raw data to seismic reservoir models. Our distinction lies in a fully integrated, probabilistic workflow that ensures robust uncertainty quantification at every stage, reducing risk and informing better development decisions.

Our End-to-End Workflow

Our methodology is grounded in a sequence of disciplined, physically consistent steps:

  1. Data Processing and Well-Log Analysis: We begin with meticulous data conditioning and basic petrophysical analysis on well logs to establish a reliable foundation for the model.
  2. Seismic-to-Well Tie and Wavelet Estimation: A precise tie between seismic data and well control is established, including robust wavelet estimation, which is critical for the accuracy of the inversion.
  3. Low-Frequency Modeling (LFM): We build a robust low-frequency model, acknowledging its significant impact on the final inversion results and incorporating facies-dependent trends to better capture geological heterogeneity.
  4. Seismic Inversion for Elastic Properties: Using Bayesian linearized AVO inversion, we estimate key elastic properties such as P- and S-wave impedance and density directly from seismic amplitudes.
  5. Rock-Physics Modeling: We develop and calibrate sophisticated rock-physics models that physically link the elastic properties to the petrophysical properties of interest, accounting for the specific geological environment of your reservoir.
  6. Petrophysical Inversion for Reservoir Properties: In the final step, we invert the elastic properties to predict critical reservoir parameters like porosity, mineral volumes, and fluid saturation.

 

Low frequency modeling
Seismic Inversion

Innovation Backed by Research

Our team is at the forefront of geophysical innovation. We supplement commercial software with advanced, proprietary algorithms developed through our long-standing collaboration with Professor Dario Grana at the University of Wyoming. This research, validated and published in leading journals like GEOPHYSICS, allows us to successfully address complex, non-linear, and multimodal distributions often found in challenging reservoirs, ensuring a geologically realistic and statistically sound characterization of your assets.

Publications