Gestión de Datos Maestros de Pozos
Establishes one authoritative record per well that every other system agrees with, including a single answer to how deep it is and where the top of the reservoir sits.
Finds the bad intervals in the log archive and reconstructs curves that were never run, so the field has a complete set to work from.
In a mature field, the log archive spans forty years of tools, units, mnemonics and quality. Half the wells are missing a sonic, a third have washed-out intervals that nobody flagged, and every petrophysical study starts by rediscovering this.
Automated QC detects unit errors, depth-shift mismatches, flat-lined intervals, washout-affected sections and tool-response outliers. Missing curves are then synthesised from the available suite using models trained on wells in the same field that have the full set, with a confidence curve delivered alongside every synthetic.
Synthetic logs are interpolation within the field’s own statistical relationships. They must not be used to identify a feature the training wells do not contain, and they are never acceptable as the basis for a reserves booking. Every synthetic curve is mnemonically tagged so it cannot be mistaken for a measured one downstream.
Cada página de capacidad declara una limitación real. Si un proveedor no puede decirle dónde termina su producto, no le están diciendo la verdad sobre dónde empieza.
Establishes one authoritative record per well that every other system agrees with, including a single answer to how deep it is and where the top of the reservoir sits.
Continuously checks incoming data for stuck sensors, impossible values, missing periods and broken units, and reports the field’s data health as a number.
Mud that disappears into the formation is telling you something about how easily fluid moves through the rock. This reads that signal instead of discarding it.
Predicts the mud weight window that keeps the hole open — not too light and it caves, not too heavy and it fractures.
Keeps the horizontal well inside the target layer by continuously re-matching the measured logs to the geological model.