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Demirel
Melik C. Demirel, State College, PA US
| Patent application number | Description | Published |
|---|---|---|
| 20080268226 | NANOPOROUS THIN FILMS AND MULTI-FUNCTIONAL LAYERS VIA SPATIALLY ORGANIZED POLYMERS - A spatially organized polymer nanostructured thin film and a ligand adsorbate attached to the polymer nanostructured thin film and, optionally, an additional material or materials attached to the ligand adsorbate. A method for forming a structure by: providing a spatially organized polymer nanostructured thin film and a ligand adsorbate, and adsorbing the ligand adsorbate onto the thin film and, optionally, binding additional material or materials to the ligand adsorbate. | 10-30-2008 |
| 20090257056 | SURFACE ENHANCED RAMAN DETECTION ON METALIZED NANOSTRUCTURED POLYMER FILMS - Disclosed herein is a structure having a spatially organized polymer nanostructured thin film and a metal coating on the film. The thin film is made by directing a monomer vapor or pyrolyzed monomer vapor towards a substrate at an angle other than perpendicular to the substrate, and polymerizing the monomer or pyrolyzed monomer on the substrate. | 10-15-2009 |
| 20090269587 | HYDROPHOBIC NANOSTRUCTURED THIN FILMS - Provided herein are the polymers shown below. The value n is a positive integer. R | 10-29-2009 |
Nejdat Demirel, Pessac FR
| Patent application number | Description | Published |
|---|---|---|
| 20110148542 | TRANSFORMER AND METHOD FOR USING SAME - Method for improving the symmetry of the differential output signals of an integrated transformer of the symmetric-asymmetric type comprising an inductive primary circuit and an inductive secondary circuit, characterized in that the capacitive coupling between the primary and secondary circuits is reduced. | 06-23-2011 |
Suleyman Demirel, Ann Arbor, MI US
| Patent application number | Description | Published |
|---|---|---|
| 20110119037 | PRODUCTION OPTIMIZATION FOR OILFIELDS USING A MIXED-INTEGER NONLINEAR PROGRAMMING MODEL - A system performs production optimization for oilfields using a mixed-integer nonlinear programming (MINLP) model. The system uses an offline-online approach to model a network of interdependent wells in an online network simulator while modeling multiple interdependent variables that control performance as an offline MINLP problem. The offline model is based on production profiles established by assuming decoupled wells in the actual network of wells. In one example, an amount of lift-gas to inject and settings for subsurface chokes are optimized. An offline solver optimizes variables through the MINLP model. Offline results are used to prime the online network simulator. Iteration between the offline and online models results in a convergence, at which point values for the interdependent variables are communicated to the real-world oilfield to optimize hydrocarbon production. Priming the online model with results from the offline model drastically reduces computational load over conventional techniques. Additional techniques anneal initial data starting points, smooth pressure differences, and adapt constraint values to further reduce computational intensity. | 05-19-2011 |
