Specialised Technical Course
Simultaneous (Blended) 3D Seismic Data Acquisition
Build understanding of blended 3D seismic acquisition by connecting source scheduling, overlapping signals and processing requirements.
Course Overview
Examines blended acquisition for 3D seismic surveys and its implications for processing. Participants consider acquisition scheduling, overlapping signals and data quality assessment.
Who This Course Is For
- Seismic acquisition engineers and specialists
- Geophysicists designing acquisition programmes
- Processing teams reviewing blended seismic data
- Field planners coordinating survey activity
What Participants Will Learn
Explain blended acquisition objectives and constraints
Compare source schedules against acquisition requirements
Identify processing requirements associated with signal overlap
Assess quality evidence and identify follow-up questions
Justify an acquisition choice using technical evidence
Key topics
- Blended acquisition concepts
- Source scheduling
- Signal separation
- Data quality assessment
Course Modules
Back to Course OverviewBlended Acquisition Concepts
Blended Acquisition Concepts
Module overview
Review the purpose and planning context of overlapping seismic source activity.
Key topics
Blended acquisition concepts · Source scheduling · Signal separation · Data quality assessment
Learning outcome
Participants can explain blended acquisition objectives and constraints.
Learning format
Technical explanation · worked examples · guided exercise
Source Scheduling
Source Scheduling
Module overview
Compare source activity schedules against acquisition objectives and practical constraints.
Key topics
Source timing · Activity coordination · Field constraints
Learning outcome
Participants can compare source schedules against acquisition requirements.
Learning format
Technical explanation · worked examples · guided exercise
Processing Interface
Processing Interface
Module overview
Review how acquisition choices affect signal separation and processing requirements.
Key topics
Signal separation · Processing inputs · Acquisition assumptions
Learning outcome
Participants can identify processing requirements associated with signal overlap.
Learning format
Technical explanation · worked examples · guided exercise
Data Quality Assessment
Data Quality Assessment
Module overview
Assess quality observations and identify acquisition or processing questions needing follow-up.
Key topics
Quality observations · Noise review · Follow-up checks
Learning outcome
Participants can assess quality evidence and identify follow-up questions.
Learning format
Technical explanation · worked examples · guided exercise
Practical Acquisition Comparison
Practical Acquisition Comparison
Module overview
Compare acquisition options and explain the implications for scheduling and processing.
Key topics
Option comparison · Scheduling implications · Processing trade-offs
Learning outcome
Participants can compare blended acquisition options and identify processing considerations.
Learning format
Lectures, worked examples and survey case studies
Programme Information
Course duration, location, practical components, training-centre information and applicable certification arrangements depend on the selected programme.
Learning format: Lectures, worked examples and survey case studies
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