| The main objective of this course is to provide a comprehensive understanding of static reservoir modelling and geophysical tools and reliable reservoir models, which used to predict oil production, investigate various production scenarios and eventually help decision makers to optimize field development. The more data-consistent the model, the sounder the predictions. Thus, the key point is the integration of all available data into reservoir models for field development strategies starting from Seismic data to well log data and how to maximise recoverable hydrocarbon. The workshop is composed from two main parts Part-1 Geophysical work flow starting from data loading and interpretation, Part-2 Modelling work flow to reserve calculations. Day-1 • Petrel software interface. • Petrel data preparation & organization. • Create a new petrel project. • Adjust project settings. • Loading / create new wells. • Loading checkshot data. • Loading deviation survey. • Loading / create well markers. • Loading well log data. • Loading seismic data. Day-2 • Well to Seismic Tie-Synthetics. • Interpret horizons. • Generate TWT surfaces. • Create isochron maps. • Interpret faults. • Generate fault surfaces. • Generate fault polygons. Day-3 • Calculate surface attributes. • Calculate Volume attributes. • Depth conversion using different methodologies. • Depth conversion sensitivity. • Create Isopach & isochore maps. Day-4 • Spectral Decomposition Analysis. • Delineation of prospects. • RGB color-blending. Day-5 • Geo-body extraction. • Calculate GIIP “Using Geophysical Method†• Estimate COS. • Geo-Hazard Analysis. Part-2 Modelling work flow and reserve calculations Day-6: Data Conditioning and QC. • Collecting facies and petrophysical data to be read for modelling. • Comparing porosity and facies. • Modeling Uncertainty o Geophysical Uncertainty. o Geological Uncertainty. o Structural Uncertainty. o Petrophysical Uncertainty. o Fracture Uncertainty o Contact Uncertainty. • Adjusting seismic cubes to be upscaled in the model. • Choosing suitable seismic inversion product to be used as weighting input for data distribution. Day-6 Cont.: Spatial Analysis and Modelling • General Log Measurement Terminology • Electric log correlation procedures and guide line. • Electrical log correlation in vertical wells • Log correlation plan • Basic concepts in electric log correlation • Faults Vs variation in stratigraphy • Electrical log correlation in – directional drilled wells • Log correlation plan correlation of vertical and directional drilled wells • MD, TVDss, TVD, TVT and TST terminologies. Day-6 Cont.: Structure Modeling. • Pre-Processing of input data. • Fault Modeling. • Horizon Modeling. • Layering. • Structure Frame work. • 3D Structural Grid Construction. • Boundary definition and Horizon modeling. • Horizon filtering attribute. • Refine and create zone model. • Troubleshooting. Day-7: Horizon Modelling • Corner Point Gridding. • Modeling of main faults. • Pillar gridding. • Make horizons. • Truncations. • Data preparation, including well log edits and calculations as well as well log upscaling for discrete and continuous data. Day-7 Cont.: Scaling up Well logs • Scaling up facies logs. • Averaging methods and its impact to up scaled facies logs. • Scaling up petro physical logs • Averaging methods and its impact to up scaled petro physical logs. Day-8: Building the 3D property Facies Model. • Property Modeling Work Flow. • Reservoir Modeling. • Create Facies Template. • Net to Gross. • Neural Net Work. • Petrophysical Calculations. • Exercises. Day-8 Cont.: Building the 3D property Facies Model. • Deterministic and stochastic facies modelling (object and pixel modelling). • Developing a conceptual geological model. • Data analysis. • Facies probability function and its importance for facies distribution. • Facies variogram analysis and how it affects its distribution through model. • Sequential Indicator Simulation. • Object Facies Modeling. • Truncated Gaussian Simulation with and without trends and use for carbonate reservoirs. • Using secondary data to populate facies models. • Developing a stratigraphic model • The use of analogues in model builds • How to build an accurate facies model and how to provide geological controls on this. Day-9: Building the 3D property Petrophysical Model. • Deterministic and stochastic petrophysical modelling • Data analysis. • Sequential Gaussian Simulation. • Gaussian Random Function Simulation. • Kriging. • Using secondary data to populate petrophysical models. • Porosity and water saturation distribution through the model. • How to weight water saturation distribution in the model. • Permeability distribution in the model. Day-9 Cont.: Uncertainty Analysis, Ranking and Upscaling • Building the final 3D model • Uncertainty analysis and risk • The space of uncertainty and pragmatic decisions • First, second and third order changes to the model • Multiple realizations • Developing risk maps • Ranking and upscaling – passing the model on. Day-10: Hydrocarbon in place calculations • Monte Carlo Hydrocarbon Calculations based on structure contour maps. • 3D static model hydrocarbon in place calculations. • Validation of final in place with Monto Carlo assumptions. Note: The course will not only be presented by showing and interpreting the material in detail, but also the participants will work together using a real data to apply all the workflow and to project their previous knowledge and experience onto the course, they also encouraged to bring their own data so that real working examples can be reviewed and interpreted. |