Derivative Logs (Pressure Transient Analysis)

Derivative logs in pressure transient analysis are plots of the logarithmic derivative of wellbore pressure with respect to the natural logarithm of time (or the equivalent Bourdet derivative with respect to log of time) — computed from pressure buildup or drawdown test data and displayed on a log-log diagnostic plot alongside the pressure change itself to reveal diagnostic flow regime signatures that are invisible on conventional semi-log (Horner) plots alone; the Bourdet derivative (dP/d(ln t) or equivalently t × dP/dt) was introduced by Dominique Bourdet and colleagues in 1983 in a landmark paper that transformed pressure transient analysis by allowing distinct flow regimes (wellbore storage, infinite acting radial flow, linear flow in fractures, bilinear flow, boundary effects, and dual porosity behavior) to be identified unambiguously from the shape of the derivative curve on the log-log diagnostic plot — radial flow appears as a flat, horizontal plateau on the derivative plot (the defining signature that identifies the true reservoir permeability), wellbore storage appears as a unit slope (45-degree line) at early time, fracture linear flow appears as a half-slope line, bilinear flow in hydraulic fractures appears as a quarter-slope line, and closed boundary effects appear as a unit slope at late time with the pressure derivative rising above the stabilized radial flow level; the diagnostic plot combining pressure change (delta-P) and the Bourdet derivative on log-log axes has become the universal starting point for all modern pressure transient analysis, replacing the older sequential approach of plotting data on multiple specialized plots (semi-log buildup, log-log type curves) and providing a single diagnostic display that simultaneously reveals wellbore storage, flow geometry, and boundary effects across the full time range of the test.

Key Takeaways

  • The flat derivative plateau identifies radial flow and directly yields reservoir permeability — the most important single feature on a pressure derivative plot is the flat (zero-slope) plateau that indicates infinite acting radial flow: the region where the pressure disturbance has propagated past the near-wellbore effects (skin, wellbore storage, fracture effects) and is flowing radially in an effectively unbounded reservoir; during this flat plateau, the derivative value equals m/2.303 where m is the slope of the Horner straight line, and the permeability-thickness product (kh) is directly calculated from the derivative level; identifying the flat derivative plateau is the fundamental objective of pressure transient data quality assessment — if no flat plateau develops during the test, the test duration was insufficient to reach radial flow and the reservoir permeability cannot be reliably determined; well test designers specify minimum test durations based on estimated permeability and expected drainage radius to ensure the derivative plateau is reached before the test ends.
  • Derivative signature shapes are diagnostic of specific flow geometries that cannot be identified from pressure alone — the power of the derivative plot lies in its sensitivity to flow regime transitions that appear only as subtle inflections in the pressure-time curve but create distinct, mathematically characteristic slopes on the derivative plot; a half-slope (0.5) on the derivative indicates linear flow (pressure transient propagating in one dimension) characteristic of hydraulically fractured wells during the fracture linear flow period, and the slope duration and level allow estimation of fracture half-length; a quarter-slope (0.25) indicates bilinear flow (simultaneous linear flow in the fracture and the formation matrix feeding the fracture) and allows estimation of fracture conductivity; a unit slope (1.0) on both the pressure change and derivative curves at early time indicates wellbore storage (compressible fluid in the wellbore dominating the pressure response), which must end before formation properties can be read; a "hump" in the derivative followed by a second flat plateau indicates dual porosity behavior (naturally fractured formation) with interporosity flow parameters visible from the hump geometry.
  • Numerical differentiation of field pressure data requires smoothing to produce interpretable derivative plots — field pressure measurements contain noise from gauge resolution, vibration, fluid movement, and other sources; taking the derivative of noisy data amplifies the noise dramatically, producing a jagged derivative curve that masks the diagnostic flow regime signatures; the Bourdet algorithm smooths the derivative by computing it over a logarithmic time window (the L-factor) that averages the pressure difference over a span of log-time rather than at each point; larger L-factors produce smoother derivative curves but may smooth out real features; smaller L-factors preserve real features but may show noise as false diagnostic signatures; optimal L-factor selection is a judgment call that requires experience — too smooth, and you may miss a real feature; too noisy, and you may invent a feature; modern pressure transient software automatically applies and allows interactive adjustment of the smoothing parameter, and the analyst must evaluate the resulting derivative critically rather than accepting the software's default output without examination.
  • Derivative analysis has revolutionized hydraulic fracture characterization in tight formations — in low-permeability gas and oil wells with hydraulic fractures, the derivative plot reveals the sequence of flow regimes that characterize the complex fracture system: early fracture storage (unit slope if the fracture itself is compressible), bilinear flow (quarter slope) when the fracture has finite conductivity and the formation is feeding the fracture, linear flow (half slope) when the fracture is fully conductive and flow is linear from the matrix to the fracture, and compound linear or pseudo-radial flow if the test continues long enough for the drainage area to expand beyond the fracture; quantifying the fracture half-length from the transition between linear and pseudo-radial flow requires tests lasting weeks to months in tight formations, which is why DFITs (diagnostic fracture injection tests) with carefully designed shut-in periods and high-resolution gauge data are used to generate derivative plots that can be interpreted for fracture and reservoir properties before the main fracturing program proceeds.
  • Boundary identification on the derivative plot guides reservoir model construction and field development planning — when the pressure transient has propagated far enough to reach the boundaries of the drainage area (fault, pinchout, water contact, or producing edge of an aquifer), the derivative plot deviates from the flat radial flow plateau; a fault or sealing boundary causes the derivative to rise with a slope of 1.0 (unit slope) after a period of flat radial flow, while an aquifer (pressure support boundary) causes the derivative to fall below the radial flow plateau; the time at which boundary effects appear on the derivative allows estimation of the distance from the wellbore to the boundary, and the nature of the boundary deviation (sealed or open) indicates the type of boundary; this boundary characterization from derivative plots is particularly valuable in exploration wells where the reservoir limits are unknown and the test is one of the primary tools for establishing the size and connectivity of the accumulation before development drilling commences.

Fast Facts

Dominique Bourdet's 1983 paper introducing the pressure derivative for well test analysis was published in the Society of Petroleum Engineers Journal and has become one of the most cited papers in petroleum engineering literature, with over 500 citations. The method was almost immediately adopted by the well testing industry and within five years had become the standard approach taught in reservoir engineering courses and implemented in commercial well test analysis software. In recognition of its transformative impact on reservoir engineering practice, Bourdet received the SPE Formation Evaluation Award and his derivative concept is now universally called the "Bourdet derivative" — one of the few modern petroleum engineering methods named after its inventor and in routine commercial use.

What Are Derivative Logs in Well Test Analysis?

Derivative logs are the mathematical signature of how fast wellbore pressure is changing — plotted on a log-log scale to reveal the flow geometry between a well and its reservoir. Where a conventional pressure plot shows you what the pressure is doing, the derivative shows you how the pressure is changing, and those rates of change are diagnostic: radial flow produces a flat line, linear flow produces a half-slope line, wellbore storage produces a unit slope. Each flow regime has a characteristic derivative signature, making the derivative plot the universal diagnostic display that tells the well test analyst what kind of system they're looking at before they try to calculate any numbers from it.

Derivative logs are also called Bourdet derivative plots, pressure derivative plots, or log-log diagnostic plots. Related terms include pressure transient analysis (the discipline using derivative logs), Bourdet derivative (the standard mathematical form), radial flow (the flat derivative signature), wellbore storage (the unit slope at early time), pressure buildup test (the data source for derivative analysis), Horner plot (the complementary semi-log analysis), flow regime (the characteristic behavior identified by derivatives), dual porosity (a formation type identified by the derivative hump), and permeability (the key parameter derived from the flat plateau level).

Why the Derivative Plot Transformed Well Testing From an Art to a Science

Before the Bourdet derivative, interpreting a pressure buildup test required deciding in advance which plot to use (Horner, MDH, Ramey type curves), choosing the right time range that showed radial flow, and making judgment calls about which part of the data to trust — a process that experienced analysts could do well and novices often got wrong. The derivative plot changed this by providing a single display that simultaneously shows all the flow regimes, makes their diagnostic signatures geometrically obvious, and allows the analyst to check whether the time range they're using for interpretation is actually showing radial flow or something else. It's one of the clearest examples in engineering of a mathematical transformation that makes complex data immediately interpretable — and it's why pressure transient analysis became a rigorous, reproducible discipline rather than an expert's art form practiced with educated guesswork.