logging in or signing up SummaryLondonshort Doride Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 79 Category: Education License: All Rights Reserved Like it (0) Dislike it (0) Added: March 03, 2008 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript PANGEA Inc.: PANGEA Inc. Understanding Depth E&P Decision Making: E&P Decision Making Modeling Possible effect and risk estimation Cost estimation Variants comparison Final decision How to improve decisions?: How to improve decisions? To improve modeling by deeper integration of all the relevant data geological knowledge management To manage all types of uncertainties which are risk sources To provide the uniform base for different projects comparison What does PANGEA offer?: What does PANGEA offer? The most comprehensive prospect generation and reservoir prediction MDI software with embedded geological knowledge management tools Uncertainty control over all the classification and prediction results The ways to support projects feasibility comparison with Multi-D interpretation of G&G data in regional frame or globally Internationalization (i18n): Internationalization (i18n)MultiD Interpretation Principle: MultiD Interpretation Principle Using of MultiD attributes at any stage of geological modeling instead operation with attributes one by oneMulti-D Interpretation: Multi-D Interpretation Production Core& Log Attributes Well tests Geology Core& Log Well tests Geology Attributes Data (used simultaneously) Reservoir Model ProductionMultiD Interpretation Methods: MultiD Interpretation Methods Unsupervised classification. Multiattribute anomalies Supervised classification The best MultiD attribute extraction and prediction of reservoir parameters Applied for sets of seismic sections and/or cubes (ReView) or for sets of maps (Certainty) and for core and log data (PetroExpert)Unsupervised Classification: Unsupervised Classification Prospect generation with supervised classification: Prospect generation with supervised classificationPay Zone Map (PseudoSP inversion result): Pay Zone Map (PseudoSP inversion result) 1 well drilled March 2003 9 wells drilled Nov.2005Lead assessment with Certainty: Lead assessment with Certainty P95 Hef (m) P50 Hef (m) MC=0.989 SD=2.3 m Informative combination: T8 t0 local T9 t0 local Gravity field gradient T8T9 velocity gradient T8T9 dHKnowledge management tools: Knowledge management tools Petrophysical relationships library and general petrophysical model (PetroExpert) Solutions path storing and reapplying for model monitoring or similar geological settings (Certainty and ReView) Collecting informative attributes combinations (Certainty) and multiattributes images of productive zones (Certainty and ReView) Portfolio management with Nedra: Portfolio management with Nedra Prognosis of oil prospective zones (blue) for four blocks made with Nedra software overlaying Murzuq basin petroleum system scheme after Don Hallett (“Petroleum geology of Libya”)Prospecting risk assessment with Certainty: Prospecting risk assessment with Certainty Coloured Multi-D attribute highlights possibly productive zones (85% of known in the region fields lies within coloured zones) Data mining in geology: Data mining in geology Echo allows to use the production data for geological model elaboration and IOR operations analysis ReView and Certainty enable to find the data combination corresponding to oil&gas presence and their relationships to reservoir parametersImpermeable zones delineation with Echo : Impermeable zones delineation with Echo Portraits of classes: Portraits of classesData integration: Data integration Well data are integrated into the prospect or reservoir model via petrophysical model of reservoir rocks with PetroExpert software Seismic, potential fields, satellite imaging data are considered by Certainty as components of Multi-D attributes. The best Multi-D attribute may contain non-seismic data along with seismic. Production data are incorporated into geological modeling with Echo software. The main result: The main result Over 30% improvement of drilling success ratioSlide23: Join us in Understanding the Depth! You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
SummaryLondonshort Doride Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 79 Category: Education License: All Rights Reserved Like it (0) Dislike it (0) Added: March 03, 2008 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript PANGEA Inc.: PANGEA Inc. Understanding Depth E&P Decision Making: E&P Decision Making Modeling Possible effect and risk estimation Cost estimation Variants comparison Final decision How to improve decisions?: How to improve decisions? To improve modeling by deeper integration of all the relevant data geological knowledge management To manage all types of uncertainties which are risk sources To provide the uniform base for different projects comparison What does PANGEA offer?: What does PANGEA offer? The most comprehensive prospect generation and reservoir prediction MDI software with embedded geological knowledge management tools Uncertainty control over all the classification and prediction results The ways to support projects feasibility comparison with Multi-D interpretation of G&G data in regional frame or globally Internationalization (i18n): Internationalization (i18n)MultiD Interpretation Principle: MultiD Interpretation Principle Using of MultiD attributes at any stage of geological modeling instead operation with attributes one by oneMulti-D Interpretation: Multi-D Interpretation Production Core& Log Attributes Well tests Geology Core& Log Well tests Geology Attributes Data (used simultaneously) Reservoir Model ProductionMultiD Interpretation Methods: MultiD Interpretation Methods Unsupervised classification. Multiattribute anomalies Supervised classification The best MultiD attribute extraction and prediction of reservoir parameters Applied for sets of seismic sections and/or cubes (ReView) or for sets of maps (Certainty) and for core and log data (PetroExpert)Unsupervised Classification: Unsupervised Classification Prospect generation with supervised classification: Prospect generation with supervised classificationPay Zone Map (PseudoSP inversion result): Pay Zone Map (PseudoSP inversion result) 1 well drilled March 2003 9 wells drilled Nov.2005Lead assessment with Certainty: Lead assessment with Certainty P95 Hef (m) P50 Hef (m) MC=0.989 SD=2.3 m Informative combination: T8 t0 local T9 t0 local Gravity field gradient T8T9 velocity gradient T8T9 dHKnowledge management tools: Knowledge management tools Petrophysical relationships library and general petrophysical model (PetroExpert) Solutions path storing and reapplying for model monitoring or similar geological settings (Certainty and ReView) Collecting informative attributes combinations (Certainty) and multiattributes images of productive zones (Certainty and ReView) Portfolio management with Nedra: Portfolio management with Nedra Prognosis of oil prospective zones (blue) for four blocks made with Nedra software overlaying Murzuq basin petroleum system scheme after Don Hallett (“Petroleum geology of Libya”)Prospecting risk assessment with Certainty: Prospecting risk assessment with Certainty Coloured Multi-D attribute highlights possibly productive zones (85% of known in the region fields lies within coloured zones) Data mining in geology: Data mining in geology Echo allows to use the production data for geological model elaboration and IOR operations analysis ReView and Certainty enable to find the data combination corresponding to oil&gas presence and their relationships to reservoir parametersImpermeable zones delineation with Echo : Impermeable zones delineation with Echo Portraits of classes: Portraits of classesData integration: Data integration Well data are integrated into the prospect or reservoir model via petrophysical model of reservoir rocks with PetroExpert software Seismic, potential fields, satellite imaging data are considered by Certainty as components of Multi-D attributes. The best Multi-D attribute may contain non-seismic data along with seismic. Production data are incorporated into geological modeling with Echo software. The main result: The main result Over 30% improvement of drilling success ratioSlide23: Join us in Understanding the Depth!