Decoding the Subsurface: Reservoir Characterization and Modeling Training Course

Introduction

Effective management of hydrocarbon reservoirs, from initial discovery to mature production, hinges on a comprehensive understanding of their geological and petrophysical properties. Reservoir characterization involves integrating diverse datasets – seismic, well logs, core samples, and production data – to build a detailed picture of the subsurface. This understanding then forms the basis for constructing accurate reservoir models, which are essential tools for optimizing drilling strategies, forecasting production, and maximizing hydrocarbon recovery.

This intensive training course is meticulously designed to equip participants with a comprehensive and practical understanding of reservoir characterization and modeling. From exploring the fundamental concepts of reservoir geology and petrophysics to mastering data integration techniques, geological modeling, and static and dynamic reservoir simulation, you will gain the expertise to build robust subsurface models. This empowers you to make informed decisions for field development, optimize production strategies, and enhance hydrocarbon recovery in the upstream oil and gas industry.

Target Audience

  • Reservoir Engineers and Geologists.
  • Geophysicists and Petrophysicists.
  • Production Engineers.
  • Drilling Engineers.
  • Development Managers in Oil & Gas.
  • Data Scientists interested in Geoscience Applications.
  • Students and Academics in Petroleum Engineering or Earth Sciences.
  • Anyone involved in the appraisal and development of hydrocarbon fields.

Duration: 10 days

Course Objectives

Upon completion of this training course, participants will be able to:

  • Understand the fundamental principles of reservoir characterization and its importance in field development.
  • Grasp the various types of data used for reservoir characterization (seismic, well logs, core, production).
  • Analyze petrophysical properties (porosity, permeability, fluid saturation) and their measurement.
  • Comprehend the process of building geological (static) reservoir models.
  • Evaluate different techniques for populating reservoir models with petrophysical properties.
  • Develop practical skills in utilizing industry-standard software for reservoir modeling.
  • Navigate the complexities of dynamic simulation and history matching.
  • Formulate robust strategies for optimizing reservoir management and maximizing hydrocarbon recovery.

Course Content

  1. Introduction to Reservoir Characterization and Modeling
  • Defining Reservoir Characterization Module: integrating data to understand reservoir properties
  • Defining Reservoir Modeling Module: building geological and simulation models of the subsurface
  • Importance in Field Development Module: optimizing drilling, production, enhanced oil recovery (EOR)
  • Overview of the Reservoir Workflow Module: from data acquisition to production forecast
  • The interdisciplinary nature of reservoir management
  1. Reservoir Geology and Heterogeneity
  • Depositional Environments and Facies Module: impact on reservoir architecture (fluvial, deltaic, marine, carbonate)
  • Diagenesis and Porosity/Permeability Evolution Module: how rock properties change over time
  • Structural Geology of Reservoirs Module: faults, folds, fractures, their impact on fluid flow
  • Reservoir Heterogeneity Module: understanding variations in rock properties and their impact on fluid flow
  • Geological controls on reservoir quality and distribution
  1. Petrophysical Characterization from Well Logs
  • Introduction to Well Logging Module: principles, types of logs (gamma ray, resistivity, density, neutron, sonic)
  • Log Quality Control and Environmental Corrections Module: ensuring reliable data
  • Porosity Determination from Logs Module: calculating pore volume
  • Water Saturation Calculation Module: determining hydrocarbon volume
  • Permeability Estimation from Logs Module: inferring fluid flow capacity
  • Interpreting well logs for petrophysical properties
  1. Core Analysis and Special Core Analysis (SCAL)
  • Core Acquisition and Handling Module: conventional coring, sidewall coring
  • Routine Core Analysis (RCA) Module: porosity, permeability, fluid saturation measurements
  • Special Core Analysis (SCAL) Module: capillary pressure, relative permeability, wettability
  • Integration of Core Data with Log Data Module: calibrating logs with direct measurements
  • Understanding the role of core data in reservoir characterization
  1. Seismic Data for Reservoir Characterization
  • Seismic Attributes for Reservoir Properties Module: amplitude, frequency, coherence, inversion
  • Seismic Inversion Module: converting seismic data to acoustic impedance for rock property estimation
  • Time-to-Depth Conversion Module: accurate positioning of reservoir layers
  • Seismic Facies Analysis Module: interpreting depositional environments from seismic patterns
  • Leveraging seismic data to understand reservoir architecture and properties
  1. Static (Geological) Reservoir Modeling
  • Geological Modeling Workflow Module: structural modeling, stratigraphic modeling, facies modeling
  • Gridding Techniques Module: corner point, unstructured grids, upscaling
  • Facies Modeling Techniques Module: deterministic (e.g., Boolean), stochastic (e.g., object-based, pixel-based)
  • Property Modeling Techniques Module: populating the grid with porosity, permeability, water saturation (geostatistical methods: kriging, simulation)
  • Building a 3D geological representation of the reservoir
  1. Volumetric Estimation and Uncertainty
  • Calculating Hydrocarbon Pore Volume (HCPV) Module: from static model properties
  • Gross Rock Volume (GRV), Net Rock Volume (NRV), Net-to-Gross (NTG) Module: components of volumetric calculation
  • Uncertainty Analysis in Volumetrics Module: P10, P50, P90 estimates
  • Monte Carlo Simulation Module: quantifying uncertainty in reservoir parameters
  • Assessing the amount of hydrocarbons in place
  1. Dynamic (Simulation) Reservoir Modeling
  • Introduction to Reservoir Simulation Module: simulating fluid flow in the reservoir over time
  • Black Oil and Compositional Simulators Module: different levels of fluid complexity
  • Input Data for Simulation Module: static model, fluid properties, rock properties, well data
  • Well Modeling and Production Constraints Module: representing wells and production/injection
  • Setting up and running a dynamic reservoir simulation
  1. History Matching and Forecast
  • Purpose of History Matching Module: calibrating the model against historical production data
  • History Matching Parameters Module: permeability, porosity, fluid contacts, fault transmissibility
  • Assisted History Matching Techniques Module: optimization algorithms
  • Production Forecasting Module: predicting future oil, gas, and water production
  • Using the calibrated model to predict future reservoir performance
  1. Advanced Concepts and Integrated Reservoir Management
  • Enhanced Oil Recovery (EOR) Modeling Module: simulating waterflooding, gas injection, chemical EOR
  • Geomechanics in Reservoir Modeling Module: impact of stress on rock properties, compaction
  • Unconventional Reservoir Modeling Module: shale gas/oil, tight reservoirs, fractured reservoirs
  • Integrated Asset Modeling (IAM) Module: connecting reservoir, well, and surface facilities models
  • Machine Learning and AI in Reservoir Characterization Module: for data integration, prediction, optimization
  • The future of reservoir management and optimization.

CERTIFICATION

  • Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute Certificate

TRAINING VENUE

  • Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

  • Airport pick up and accommodation is arranged upon request

TERMS OF PAYMENT

Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com

For More Details call: +254-114-087-180

 

Decoding The Subsurface: Reservoir Characterization And Modeling Training Course in Honduras
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