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Sweet Spotting: Reduce Exploration Risk With Multi-Scale Datasets

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What Are Sweet Spots?

A sweet spot represents spatial area and stratigraphic zones where critical petroleum systems elements (PSE) converge. These elements include;

  1. Source rock presence and maturity
  2. Reservoir quality and distribution
  3. Seal effectiveness
  4. Trap geometry and integrity
  5. Hydrocarbon charge
  6. Migration timing

Sweet spotting operates across multiple scales, refining and improving as the process converges on an optimal geological target. Regional screening is first undertaken to define broad trends controlled by tectonics and basin evolution. Then it moves to the lead scale, where subsurface data is integrated and analysed to refine stratigraphy and trap configurations. Finally, at the prospect level, it provides the detailed definition required to de-risk fluid presence and reservoir quality assessment.

PetroStrat Exploration Integrated play element map showing reservoir thickness including sweet spots

Uncertainty is reduced and effort is focused toward areas of low risk and high reward. Where favourable geological factors coincide, Regional screening is translated into confident precisely placement.

How Sweet Spotting Identifies High-Value Opportunities With Precision

Sweet spotting is a multi-scale process. The subsurface system is analysed through different technical lenses, ranging from broad basin evaluations to specific well locations. Each stage requires a distinct set of datasets, iteratively working to reduce uncertainty and validate your petroleum system model.

01 Play level – Defining the regional fairway

PetroStrat Exploration Gross depositional environment map used to define the regional fairway

At the play level, the focus is regional screening. The aim is to define favourable trends and patterns controlled by tectonics, depositional environments, and basin evolution. Plays are ranked based on their petroleum systems, discoveries, and scalability.

This includes;

  • Mapping source rock kitchens and maturity
  • Outlining reservoir fairways, and regional seal extent
  • Identifying migration pathways.

Sweet spots at this level are often associated with structural highs that have access to favourable, mature source kitchens, with areas of proven reservoir and charge.

02 Lead Level – Refining the target

PetroStrat Exploration Top reservoir depth map used at the lead stage to define structural configuration

At the lead stage, the workflow is increasingly constrained by data and refined spatially. Leads represent potential target intervals and trap configurations, but more evidence is needed before they mature into drillable prospects.

Exploration Geoscientists integrate multidisciplinary data such as seismic and well data and seismic attribute analysis. Analysing these data sets allows the identification of areas with enhanced reservoir quality and favourable charge access.

Sweet spots at the lead scale are likely preferential areas of good porosity and permeability or better seal integrity relative to surrounding areas.

03 Prospect Level – Defining the trap

PetroStrat Exploration Top reservoir depth map

At the prospect level, the focus shifts to detailed trap definition and quantification of associated risk. Pre-drill scenarios can differ significantly in volume outcomes depending on your interpretation of structure, stratigraphy, fluid contacts and reservoir properties.

High-resolution seismic, AVO, inversion, and rock physics are commonly used to de-risk fluid presence and reservoir quality. A well location is ultimately recommended on the basis of the best-supported interpretation and a clearly documented risk assessment. The goal: Prospect risking with reduced uncertainty

Risking is a fundamental element of the sweet spotting process. Each prospect must be evaluated against five key elements: trap, reservoir, seal, charge and timing. Sweet spots represent areas where the risk of these key elements is low and where multiple datasets independently support this. Uncertainty is assessed through rigorous scenario analysis by comparing the targets against well-established analogues and volumetrics.

Ready to Learn more? Reach out to our Exploration team

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