The Experts below are selected from a list of 13458 Experts worldwide ranked by ideXlab platform

Mike Hiner - One of the best experts on this subject based on the ideXlab platform.

Hakon T Pedersen - One of the best experts on this subject based on the ideXlab platform.

S Ellingsrud - One of the best experts on this subject based on the ideXlab platform.

  • exploring frontier areas using 2d seismic and 3d csem data as exemplified by multi client data over the skrugard and havis discoveries in the barents sea
    First Break, 2013
    Co-Authors: Pal T Gabrielsen, P Abrahamson, Martin Panzner, Stein Fanavoll, S Ellingsrud
    Abstract:

    There is new and growing enthusiasm for hydrocarbon exploration in the Barents Sea after three recent discoveries: Skrugard, Havis, and Norvarg. We demonstrate how using wide-azimuth 3D controlled-source electromagnetic (CSEM) and 2D seismic data together can improve the identification of prospective areas in the region. An interpretation workflow is presented to show how the challenging resistivity background in the Barents Sea is handled. To do this, we introduce a new inversion attribute called the anomalous vertical resistivity. The inversion attribute is co-visualized with 2D seismic data and used to Estimate recoverable Reserves. The workflow is illustrated on both synthetic and real data for the Skrugard and Havis discoveries. Both discoveries are identified on CSEM maps and by integrating CSEM data with seismic data. In addition, a new lead is identified. We show that CSEM data carries structural information and that the horizontal resistivity trends can be used with 2D seismic data and well logs to interpret the distribution of good-quality sands. Hydrocarbon Reserve calculations based on the 3D CSEM data for the Skrugard and Havis discoveries have P50 values consistent with the publicly available Reserve Estimates. The Reserve Estimate for the new lead also shows significant potential.

Mark A J Huijbregts - One of the best experts on this subject based on the ideXlab platform.

  • Surplus Cost Potential as a Life Cycle Impact Indicator for Metal Extraction
    Resources, 2016
    Co-Authors: Marisa Vieira, Thomas C. Ponsioen, Mark Goedkoop, Mark A J Huijbregts
    Abstract:

    In the evaluation of product life cycles, methods to assess the increase in scarcity of resources are still under development. Indicators that can express the importance of an increase in scarcity of metals extracted include surplus ore produced, surplus energy required, and surplus costs in the mining and the milling stage. Particularly the quantification of surplus costs per unit of metal extracted as an indicator is still in an early stage of development. Here, we developed a method that quantifies the surplus cost potential of mining and milling activities per unit of metal extracted, fully accounting for mine-specific differences in costs. The surplus cost potential indicator is calculated as the average cost increase resulting from all future metal extractions, as quantified via cumulative cost-tonnage relationships. We tested the calculation procedure with 12 metals and platinum-group metals as a separate group. We found that the surplus costs range six orders of magnitude between the metals included, i.e., between $0.01–$0.02 (iron) and $13,533–$17,098 (rhodium) USD (year 2013) per kilogram of metal extracted. The choice of the Reserve Estimate (Reserves vs. ultimate recoverable resource) influenced the surplus costs only to a limited extent, i.e., between a factor of 0.7 and 3.2 for the metals included. Our results provide a good basis to regularly include surplus cost Estimates as resource scarcity indicator in life cycle assessment.

  • ore grade decrease as life cycle impact indicator for metal scarcity the case of copper
    Environmental Science & Technology, 2012
    Co-Authors: Marisa Vieira, Mark Goedkoop, Per Storm, Mark A J Huijbregts
    Abstract:

    In the life cycle assessment (LCA) of products, the increasing scarcity of metal resources is currently addressed in a preliminary way. Here, we propose a new method on the basis of global ore grade information to assess the importance of the extraction of metal resources in the life cycle of products. It is shown how characterization factors, reflecting the decrease in ore grade due to an increase in metal extraction, can be derived from cumulative ore grade-tonnage relationships. CFs were derived for three different types of copper deposits (porphyry, sediment-hosted, and volcanogenic massive sulfide). We tested the influence of the CF model (marginal vs average), mathematical distribution (loglogistic vs loglinear), and Reserve Estimate (ultimate Reserve vs Reserve base). For the marginal CFs, the statistical distribution choice and the Estimate of the copper Reserves introduce a difference of a factor of 1.0-5.0 and a factor of 1.2-1.7, respectively. For the average CFs, the differences are larger for these two choices, i.e. respectively a factor of 5.7-43 and a factor of 2.1-3.8. Comparing the marginal CFs with the average CFs, the differences are higher (a factor 1.7-94). This paper demonstrates that cumulative grade-tonnage relationships for metal extraction can be used in LCA to assess the relative importance of metal extractions.

Pal T Gabrielsen - One of the best experts on this subject based on the ideXlab platform.

  • exploring frontier areas using 2d seismic and 3d csem data as exemplified by multi client data over the skrugard and havis discoveries in the barents sea
    First Break, 2013
    Co-Authors: Pal T Gabrielsen, P Abrahamson, Martin Panzner, Stein Fanavoll, S Ellingsrud
    Abstract:

    There is new and growing enthusiasm for hydrocarbon exploration in the Barents Sea after three recent discoveries: Skrugard, Havis, and Norvarg. We demonstrate how using wide-azimuth 3D controlled-source electromagnetic (CSEM) and 2D seismic data together can improve the identification of prospective areas in the region. An interpretation workflow is presented to show how the challenging resistivity background in the Barents Sea is handled. To do this, we introduce a new inversion attribute called the anomalous vertical resistivity. The inversion attribute is co-visualized with 2D seismic data and used to Estimate recoverable Reserves. The workflow is illustrated on both synthetic and real data for the Skrugard and Havis discoveries. Both discoveries are identified on CSEM maps and by integrating CSEM data with seismic data. In addition, a new lead is identified. We show that CSEM data carries structural information and that the horizontal resistivity trends can be used with 2D seismic data and well logs to interpret the distribution of good-quality sands. Hydrocarbon Reserve calculations based on the 3D CSEM data for the Skrugard and Havis discoveries have P50 values consistent with the publicly available Reserve Estimates. The Reserve Estimate for the new lead also shows significant potential.