TERRA-IQ Ltd. - Smart Thinking About the Earth

Technical Skills

Terra-IQ offers extensive expertise in the following:

Reservoir Characterization - Inversion

• Data conditioning
• AVO/AVAZ and inversion analysis
• Neural network analysis
• Joint PP and PS seismic inversion
• Time-lapse seismic inversion
• Geostatistical inversion

Reservoir Characterization - Quantitative Interpretation

• Feasibility studies
• Seismic attributes
• Rock physics
• Forward modeling
• AVO and Inversion Analysis
• Probabilistic lithology and fluid prediction
• Seismic facies classification
• Time-lapse (4D) seismic data inversion and interpretation
• Multicomponent data interpretation
• Time-to-depth conversion

Seismic Interpretation

• Structural and stratigraphic seismic interpretation

Targeted Workflows

Terra-IQ specializes in increasing recovery and project value through targeted workflows for:

• Oil sands pay characterization and reservoir connectivity
• Flank-water mapping
• High versus low oil-saturation identification
• Caprock integrity
• Fracture characterization
• Seismic reconstruction of the anisotropic stress field
• Quantitative seismic time-lapse reservoir monitoring

NEW!

• Pore pressure volume estimation
• Anisotropic total principal stresses 3D seismic estimation
• Anisotropic effective principal stresses 3D seismic estimation
• 3D geomechanical model estimation

GeoConvention 2019, March 13, Calgary, AB, Canada, Glen Room 201-204, 1:25pm

- Dumitrescu C.C, G. Larson, 2019, The Biot Coefficient and Anisotropic Stress Estimation from Seismic - LINK

GeoConvention 2019, March 13-17, Calgary, AB, Canada

- Terra-IQ will be represented at Geoconvention 2019 by Carmen Dumitrescu and Iulia Ciobanu

- Talinga D. and C. C. Dumitrescu, 2019, Seismic reconstruction of the in situ anisotropic stress field for caprock integrity in the Athabasca oil-sands basin, Canada; Interpretation, Vol. 7, No. 1; p. T221–T229 Link

- Talinga, D., C.C. Dumitrescu, G. Larson, 2018, Three-dimensional seismic reconstruction of the anisotropic tectonic stress for cap-rock integrity in the Athabasca oil-sands, Alberta, Canada, AAPG Annual Convention & Exhibition, Salt Lake City, Utah, USA - Link

- Talinga, D., C.C. Dumitrescu, G. Larson, 2018, Understanding the in-situ anisotropic stress field for cap-rock integrity, GeoConvention 2018 - Link

- Zhang, W. and C.C. Dumitrescu, 2018, Enhance reservoir characterization at Narrows Lake oil-sands project by using 3-component seismic, GeoConvention 2018 - Link

- Larson G and C.C. Dumitrescu,  2017, Quantitative Interpretation of Time-Lapse Seismic for a SAGD Reservoir at Jackfish, Alberta- Link

- Dumitrescu C.C. and G. Larson,  2017, Quantitative interpretation of 4D-3C seismic data for an oil-sands reservoir, EAGE Workshop - Link

- Talinga D. and C.C. Dumitrescu, 2016, Anisotropic stress field characterization for caprock integrity in the Athabasca oil sands, SEG Expanded Technical Abstracts - ABSTRACT

- Dumitrescu C.C., G. Larson, D. Talinga, 2016, Life of an oil-sands project: Value added with time-lapse multicomponent seismic inversion, SEG Expanded Technical Abstracts - ABSTRACT

- Mayer F., C.C. Dumitrescu, G. Cain, 2016, Statistically Improved Resistivity and Density Estimation From Multicomponent Seismic Data: Case Study From the Lower Cretaceous McMurray Formation, Athabasca Oil Sands, AAPG ACE 2016 - ABSTRACT

- Mayer, F., C. C. Dumitrescu, G. Larson, 2015, Resistivity and density estimation from multicomponent seismic data: Case study from the Lower Cretaceous McMurray Formation, Athabasca oil sands, CSEG Recorder Link      

- Dumitrescu, C. C., P. Vermeulen, S. Gammie and G. Li, 2014, Facies analysis using multicomponent seismic data in oil-sands reservoir: Case study from Athabasca Oil Sands; SEG Technical Program Expanded Abstracts 2014: pp. 2413-2417; Link

- Mayer F., C.C.  Dumitrescu, G. Larson, and D. Talinga, 2014, Resistivity and density estimation from multicomponent seismic data: Case study from the Lower Cretaceous McMurray Formation, Athabasca Oil Sands. SEG Technical Program Expanded Abstracts 2014: pp. 2418-2422; Link