Strebelle
Michel Strebelle, Bruxelles BE
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20080207967 | Process For The Manufacture Of 1,2-Dichloroethane - Process for the manufacture of 1,2-dichloroethane starting with a hydrocarbon source according to which: a) the hydrocarbon source is subjected to cracking which produces a mixture of products containing ethylene and other constituents; b) the said mixture of products is separated into at least one fraction containing ethylene and into a heavy fraction (fraction C); c) the fraction or fractions containing ethylene are conveyed to a chlorination reactor and/or to an oxychlorination reactor, in which reactors most of the ethylene present is converted to 1,2-dichloroethane; d) the 1,2-dichloroethane obtained is separated from the streams of products derived from the chlorination and oxychlorination reactors and it is conveyed to the pyrolysis oven; and e) the fraction C is conveyed to cracking or to the oven for pyrolysis of 1,2-dichloroethane as fuel. | 08-28-2008 |
Sebastien Strebelle, San Francisco, CA US
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20110213600 | METHOD AND SYSTEM FOR USING MULTIPLE-POINT STATISTICS SIMULATION TO MODEL RESERVOIR PROPERTY TRENDS - A computer-implemented method and system for simulating reservoir property trends, including petrophysical trends within facies geobodies, is provided. One embodiment includes discretizing a range of values of the reservoir property to be modeled into at least two categories and utilizing the categories to discretize the associated well data and training image into categorical well data and a categorical training image. An embodiment includes applying MPS simulation using the categorical training image on a stratigraphic grid of nodes discretizing the reservoir volume to create a categorical property model. The embodiment additionally includes applying variogram-based simulation in each sub-region of the categorical property model to create a reservoir property model that reproduces the category histogram of each associated sub-region and models the reservoir property trends. | 09-01-2011 |
20160048933 | RESERVOIR PROPERTY TREND MODELING GUIDANCE USING DATA-DRIVEN UNCERTAINTY RANGE - Methods and systems for trend modeling of subsurface properties are disclosed. One method includes defining a stratigraphic grid of a subsurface volume, the stratigraphic grid including a plurality of columns and a plurality of layers. The method further includes determining, for each layer or column, an initial average property value based at least in part on well data in the subsurface volume and a confidence interval around that initial average property value defining a range of likely values for a target average property value. The method also includes receiving one or more user-defined edits to the initial average property value in one or more of the layers or columns, the one or more edits resulting in the modeled target average property value, and determining whether the modeled target average property value falls within the confidence interval. | 02-18-2016 |
Sebastien Strebelle, Perth AU
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20160103245 | CONDITIONING OF OBJECT OR EVENT BASED RESERVIOR MODELS USING LOCAL MULTIPLE-POINT STATISTICS SIMULATIONS - A computer-based method of conditioning reservoir model data includes performing a modeling process within a 3D stratigraphic grid to generate an initial model including one or more facies objects within the model volume, the modeling process including parametric distributions, initial and boundary conditions as well as depositional and erosional events to define the facies objects within the model volume. The mismatch between this initial model and the conditioning well data and potential input trend model is applied to compute a locally variable constraint model. The method further includes executing a multiple point statistics simulation with this constraint model that varies between completely constrained by the initial model at locations where the initial model is consistent with known well data and potential input trend models, and unconstrained by the initial model at locations where the initial model does not match known well data or potential input trend models to allow conformance to the known data. | 04-14-2016 |
Sebastien Bruno Strebelle, San Francisco, CA US
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20130329986 | SYSTEM AND METHOD FOR OPTIMIZING THE NUMBER OF CONDITIONING DATA IN MULTIPLE POINT STATISTICS SIMULATION - A computer system and a computer-implemented method for optimizing the number of conditioning data used in multiple point statistics simulation. The method includes inputting a training image representative of subsurface geological heterogeneity; and inputting an initial conservative number of conditioning data. The method further includes selecting a geometry of a template wherein a size of the template is defined by the conservative number of conditioning data; building a search tree using the template by scanning the training image with the template and storing data patterns present in the training image in the search tree to obtain a plurality of patterns; and determining a threshold number of conditioning data smaller than the initial conservative number of conditioning data beyond which estimated facies probabilities are not significantly modified by additional number of conditioning data. | 12-12-2013 |