12.07.2015 Views

Basic Research Needs for Geosciences - Energetics Meetings and ...

Basic Research Needs for Geosciences - Energetics Meetings and ...

Basic Research Needs for Geosciences - Energetics Meetings and ...

SHOW MORE
SHOW LESS
  • No tags were found...

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

PANEL REPORT: MODELING AND SIMULATION OF GEOLOGIC SYSTEMShealing, dislocation creep, pressure solution, free-face diffusion) fracture porosity. Crucial in thisunderst<strong>and</strong>ing of chemical effects are the mechanisms in which mechanical de<strong>for</strong>mationcontributes to changes in permeability, <strong>and</strong> by which, in turn, the mechanical response ismodified. These effects are known to be important at relatively modest stresses <strong>and</strong>temperatures, <strong>and</strong> are typical in systems pushed far from chemical equilibrium, such as ingeothermal or hydrocarbon reservoirs, or around waste repositories. A key challenge is theaccurate representation of multiple processes that vary in strength <strong>and</strong> exhibit feedback that maybe self-enhancing or self-limiting. Nonlinear processes cannot be modeled with simple scaleaverageddescriptions, but require the resolution of nonlinear interactions spanning a multiplicityof scales. It also requires an underst<strong>and</strong>ing of the physics of systems pushed far fromequilibrium. New linear <strong>and</strong> nonlinear solvers are needed to enable accurate simulation ofevolving geologic systems on petascale computing facilities.Coupling in<strong>for</strong>mation across scales requires the appropriate governing equations <strong>for</strong> given spatial<strong>and</strong> temporal scales, as well as knowing how to appropriately transfer in<strong>for</strong>mation across scales.For many subsurface applications, the model must adapt to use real-time in<strong>for</strong>mation to updatepredictions, in<strong>for</strong>m field-scale deployment of monitoring methods, <strong>and</strong> be able to quantitativelyassess the results. Because of the range of scales, data integration will require underst<strong>and</strong>ingmeasurements from the laboratory scale to the field scale. On the laboratory scale, experimentsneed to be designed to access the data required under controlled conditions (e.g., pressures,temperature, material properties, fluids) over known scales (e.g., specific pore structures,molecular scales), <strong>and</strong> over time to determine how the structure/system/processes evolve. Forexample, the principal challenge of upscaling techniques <strong>for</strong> multiphase fluid dynamics in porousmedia is to determine which properties on the microscale can be used to predict macroscopicflow <strong>and</strong> the spatial distribution of fluid phases at core <strong>and</strong> field scales.First-principles theoretical <strong>for</strong>mulations over the past decade have been derived from volumeaveraging theorems in which microscopic interfacial behavior is explicitly incorporated. Thesetheories have proposed that interfacial area per volume directly affects macroscopic behavior,<strong>and</strong> that this variable may govern the observed hysteresis in the capillary pressure-saturationrelationship. Direct visualization of interfaces with high resolution is only possible on thelaboratory scale. Transparent two-dimensional porous media (Cheng et al. 2004) with aresolution of 0.6 microns per pixel edge length <strong>and</strong> total sample length of 600 microns have beenused to visualize <strong>and</strong> quantify the behavior of interfacial geometry, while concurrentlymeasuring fluid pressures (globally <strong>and</strong> locally) to test the volume averaging theorem. Anyupscaled models must be calibrated to ensure that fine-scale influences are properly captured.Thus, laboratory techniques can provide a basis <strong>for</strong> validating theorems <strong>and</strong> calibratingnumerical methods <strong>for</strong> complex media over a range of length scales.While the laboratory can describe physical phenomena over two to three orders of magnitude inlength, testing of coupling across multiple scales will require mesoscale data <strong>and</strong> field-scale dataintegration. Structural in<strong>for</strong>mation on the field scale is often difficult to obtain, <strong>and</strong> tends to bespatially sparse <strong>and</strong> temporally infrequent. A major scientific challenge is the development ofmodels that can examine the state of a system when initial conditions are unknown, but timelapseddata are available (e.g., time-lapsed seismic monitoring, well head pressures, strain fromtilt meters). This requires developing feedback between model <strong>for</strong>mulation <strong>and</strong> data acquisition.Modeling will in<strong>for</strong>m the field characterization <strong>and</strong> monitoring process on the scale of data52 <strong>Basic</strong> <strong>Research</strong> <strong>Needs</strong> <strong>for</strong> <strong>Geosciences</strong>: Facilitating 21 st Century Energy Systems

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!