Education Days Mexico City 2018
|3-4 September 2018||Integrated Methods for Deep-water Reservoir Characterization
|5-6 September 2018||Oilfield Geomechanics: Application to Drilling, Completions, Reservoir, Production, Geology and Geophysics||David Wiprut|
|7 September 2018||
Uncertainty Quantification and Management
Integrated Methods for Deep-water Reservoir Characterization
Dr Jon Rotzien (Basin Dynamics, LLC, Houston, TX, United States)
This course focuses on sub-bed-scale and field-scale architectural elements in deep-water depositional systems and how they affect the main risks in deep-water E&P across the value chain: reservoir presence, deliverability, seal and trap. The course has three main themes:
- Sediment gravity flows, sedimentation mechanics and resulting bed configuration.
- Depositional elements in the core, outcrop, and seismic scale.
- Application and interpretation of risk and uncertainty from new ventures to field development and EOR.
This course will alternate between inclusive lectures, hands-on technical demonstrations, and collaborative exercises involving practical application of cores, outcrops, logs, and seismic data. The course starts with an overview of how sediment is transported and deposited from shelf to bathyal depths and focuses on the broad range of sedimentary processes and depositional environments. Individual and team exercises involving core and outcrop samples allow participants to describe samples and interpret their mechanism of deposition and their range of possible depositional environments. Collaborative exercises using core, outcrop, and seismic examples highlight the range of deep-water depositional environments and their effect on reservoir architecture and development. The skills of core description and integration, reservoir characterization, and sequence stratigraphy are emphasized. Core-log-seismic exercises will show modern techniques on how to predict variations in reservoir architecture in deep-water depositional systems. This course will conclude with a discussion summarizing modern advancements in the prediction of sedimentary deposits, facies, and reservoir development in a variety of different settings.
The course is designed for employees of natural resource companies in technical and management positions. Industry professionals will receive an understanding of deep-water sedimentary transport processes and depositional products, as well as knowledgeable insight into the scale and architecture of the wide range of deep-water reservoirs. This course draws from materials presented in Basin Dynamics, LLC field trips of major deep-water sedimentary outcrops worldwide.
Oilfield Geomechanics: Application to Drilling, Completions, Reservoir, Production, Geology and Geophysics
Dr David Wiprut (Baker Hughes, a GE Company - Houston, USA
This course provides participants with a solid understanding of rock mechanics, rock mechanical properties, and the associ- ated laboratory measurements and procedures used to deter- mine these properties. Additionally, participants will learn how stresses and pressures in the earth are measured and constrained, through various tools and techniques of analysis. The participants will understand the risks for mechanical rock failure during drill- ing and field development, the implications of these failures over the life of the well and field, and how these can be managed and mitigated. With 18 exercises, in-chapter and end-of-chapter class discussion questions, and hands-on demonstrations, this industry- leading class helps to ensure the participants are ready to identify the geomechanical risks hiding in every field.
This is a intermediate course for anybody interested or involved in subsurface oilfield operations. Anyone impacted by rock failures, from beginning engineers to highly experienced supervisors and managers, can benefit from understanding geomechanics.
Uncertainty Quantification and Management
Dario Grana (University of Wyoming)
Reservoir modeling provides a set of techniques to create three-dimensional numerical earth models in terms of elastic, petrophysical and dynamic properties of reservoir rocks. Mathematical/physical models of the reservoir are generally uncertain due to the lack of information, noise in data measurements, approximations and assumptions. The course focuses on the quantification of model uncertainty and its impact on reservoir predictions. It is divided into two main parts:
1. uncertainty in spatial and time domains, structure, complexity and dimensionality; and
2. uncertainty management and decision making.
Uncertainty propagation from measured data, through physical models to model predictions will be studied with a focus on seismic data inversion, static reservoir characterization, structural modeling, dynamic fluid simulation, time-lapse monitoring and history matching. The impact of uncertainty on reservoir modeling predictions will be investigated through decision-making theory, to derive strategies to make optimal decisions under different sources of uncertainties. Real case studies will be presented for each topic to illustrate the proposed workflows.
The course is designed for employees of oil companies in geophysics and reservoir modeling.