NO. 18 · Seismic Methods

Seismic Attributes: The Interpreter's Toolkit

The attribute menu in every workstation is long, and most of it goes unread. This path is the short course in what the working attributes actually measure: amplitude and its traps, coherence, curvature, spectral decomposition, and the discipline of carrying the map you made toward a rock property you would defend.

You can choose an attribute for the geologic question instead of taking the menu's word for it, set windows and gates as decisions rather than defaults, read coherence, curvature, and iso-frequency maps with their artifacts named, and hand an attribute map to a reservoir team knowing exactly what it does and does not say about the rock.

14 competencies · 4 interactive widget challenges · 6 to 9.5 hours of guided study
For working interpreters who run attributes daily and want the choices to be deliberate

Amplitude and its meanings

What an amplitude is made of

Every attribute is arithmetic on amplitude, and amplitude is impedance contrast filtered through polarity and phase conventions; misread those and every map downstream is confidently wrong.

Resolution and the tuning trap

Bright can mean gas, and bright can mean a quarter wavelength; tuning is the oldest false positive in seismic and it lives inside every amplitude map ever gated.

The processing you inherit

Attributes amplify whatever processing left behind: a migration artifact in the volume becomes a fault in the coherence, and the attribute will not warn you.

RMS, envelope, and their friends

RMS and envelope are the workhorses of the whole family, and the extraction window you choose quietly decides what the map is a map of.

Coherence and the unseen faultswidget challenge

Coherence turned faults from lines you pick into networks you see; earning that image at the right analysis window is the craft, not the button.

From lineament to fault pick

A discontinuity lineament is not a fault until an interpreter commits to it in three dimensions; this is the handoff from image back to interpretation.

Geometric and spectral

Dip, azimuth, and curvaturewidget challenge

Geometric attributes read shape from the data itself, and curvature finds flexures that dip cannot; knowing why is what stops you mapping noise as structure.

Spectral decompositionwidget challenge

A thin bed answers loudest at its own tuning frequency; iso-frequency maps let you interview the geology one frequency at a time.

RGB blending and classification

Three iso-frequency volumes in one image put relative thickness straight into colour; blending is spectral decomposition made legible at a glance.

Channel systems in plan view

Channels are the classic attribute target: plan-view geometry is how you tell a meander belt from a distributary system, and attributes are how you get the plan view.

Reading paleo-landscapes

The attribute map becomes a paleo-landscape the moment you read it as geology instead of colour; geomorphology is that reading discipline.

Attributes to properties

From reflectivity to impedance

Inversion converts the interface effect into a rock property, and honesty about it starts with knowing what the data supplied and what the prior did.

Reading inversion products

An impedance volume arrives with assumptions baked in; reading the products with their chain of custody attached is how attribute work graduates into reservoir characterization.

Capstone: the reservoir gate mapwidget challenge

The gate map is where the toolkit cashes out: one horizon, one window, one attribute, and a map somebody will spend money on.

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