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    Oil and Gas Training Courses SLB NEXT

    Subsurface Facies Analysis - Defining Reservoir Geometry & Production Fairways | RILS

    This is a Remote Instructor Led Series (RILS) training. The remote classroom delivery is a modality that takes advantage of the instructor led training content, while allowing the same content to be delivered remotely.
    All training sessions will be delivered online with no face-to-face classroom attendance. This class will be delivered in 6 hours sessions over 5 days

    This course has been designed for geoscientists, engineers and other technical staff who want to analyze and integrate image, log and dip data to enhance their understanding of exploration plays and field development. It leans heavily on worked class examples and case studies. Instead of interpreting image and dip data in isolation, the course shows how they can be used in conjunction with cores, other logs, modern depositional analogues, outcrop studies and hi-resolution seismic data to refine reservoir models.

    Acquisition & processing, and structural analysis

    · Image & Dip Acquisition & Processing

        - Measurement principles and wellsite acquisition

        - Value of high resolution image data

        - Image processing & display

        - Dip computation and trouble shooting

    · Exercise with some real data

        - Image & dip processing and LQC

        - Image description & interpretation steps

        - Comparison with core photos and description

    · Guide to Image Quality

        - Exercises in bad borehole and tool responses

    · Structural analysis using image & dip data

        - Structural dip trends and structural dip removal

        - Unconformities

        - Normal and growth faults

        - Reverse and thrust faults

        - Are faults sealing?

    Sedimentology & continental settings

    · Stratigraphic analysis using image & dip data, 60 slides

        - Depositional environments & facies analysis

        - Lithofacies from log & image data

        - Lithology, grain size variation, need to integrate

        - Geometry

        - Sedimentary structures

        - Paleocurrent directions

        - Integration & modelling at the field level

    · Eolian (wind-blown) sediments

        - Sedimentary structures & dune forms

        - Complexities in deposition setting & stratigraphic section

        - Building reservoir model & populating with data

        - Outcrop studies as input to reservoir simulation

    · Fluvial (river) sediments

        - Fluvial settings (various models)

        - Braided system lithotypes & sedimentary features

        - Meandering system lithotypes & sedimentary features

        - Point bar development (predictions)

        - Channel models as developed by geostatistics

        - Channel models constrained by outcrop analogues

        - Correlation and sequence stratigraphic considerations

        - Case study from Kalimantan; integrating high resolution seismic attributes with petrophysical data to fine tune a depositional model and site new wells; radically increasing oil recovery in the field.

    Deltaic, coastal and shelf settings

    · Deltaic sediments

        - Delta classifications and models

        - Associated sand geometries

        - Image & dip character in distributary fronts & channels

        - Case study from South Sumatra basin; developing a play concept to identify most prospective area within structural closure

    · Coastal & shelf sediments

        - Interrelation of coastal & shelf depositional settings

        - Facies variation in prograding coastal sequences

        - Idealized dip and grain motifs in bar/barrier sands

        - Image & dip examples in shelf bar and barrier island sands

        - Channel sands in a tidal setting

        - Chasing channels by integrating image and seismic data

        - Case study: distinguishing channel from bar sands in tidal settings, and its importance on reservoir characteristics

        - Use of Nuclear Magnetic Resonance to distinguish sand units

        - Using high resolution images to interpret thinly bedded reservoirs

    · Correlation Exercise

        - Environments make a difference

    Carbonate shelf & Deepwater

    · Sequence Stratigraphy

        - Parasequences & basin margin architecture

        - Aid to correlation & modelling

    · Carbonate shelf sediments

        - Carbonate models and facies in coastal and shelf settings

        - Carbonate reefs, and orienting reefal trends

        - Porosity enhancement and reduction

        - Sequence stratigraphy in carbonate sequences

        - Generating reservoir model from outcrop data and 3D seismic

    Case study: Kazakhstan Tengiz-Kashagan Trend

    Case study: Carbonate rock typing; Corelab approach

    · Deepwater sediments

        - Deepwater sediment depositional models

        - Image & dip character in proximal & distal settings

        - Orienting channel sands using image & dip data

        - Using outcrop work for forward modelling to better interpret seismic, and understand reservoir production behavior

    Case study: Improving log interpretation by modelling thin bed effects

    Fractured reservoirs

    · Fracture systems

        - Fracture types; open, healed, vuggy, syneresis

        - Natural or induced; borehole breakout & tensile fractures

        - Impacts on planning fracture jobs for stimulation

        - Fracture orientation

    · Fractured Reservoir case studies

        - Case study: Identifying & evaluating producing horizons in fractured basement offshore Vietnam

        - Case study: Simulation of a producing fracture system in a Mid-East Giant

    · Geothermal systems in volcanic rocks (optional)

        - Lithofacies in volcanic settings

        - Case study: Using images to resolve reservoir delineation and development issues.

    Geoscientists, engineers, and other technical staff who want to analyze and integrate image and dip data to enhance their understanding of exploration plays and field development.

    Basic understanding of Geology and Petrophysics are desirable, along with principles of geoscientific data management.

    Currently there are no scheduled classes for this course.

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