The research, led by Olawale Johnson Allo of the University of Lagos with colleagues from Mountain Top University and the Federal University of Petroleum Resources, focused on the Kay Field in the Coastal Swamp depobelt of the onshore Niger Delta. The team integrated a 3D post-stack seismic volume covering about 55.52 square kilometers with five composite well log suites, including sonic, density, gamma ray, resistivity, and porosity measurements. Their target was reservoir Sand E, one of five major sandstone intervals identified in the wells, and specifically the striking velocity contrast between wells designated K4 and K5.

The first analytical step was to determine what kind of rock fabric the reservoirs possess. The researchers superimposed theoretical rock physics model curves onto cross-plots of compressional velocity against porosity for the hydrocarbon-bearing intervals. Both reservoir sands aligned closely with the Dvorkin-Nur friable sand model, which describes uncemented grain packs in which porosity is reduced by poorly sorted material deposited away from grain contacts rather than by diagenetic cement bridging the contacts. This diagnosis carries real physical meaning: in an uncemented sand, grain-to-grain stiffness is governed primarily by confining pressure, not by cementation. It also implies the rock is mechanically weak and prone to sanding during production, a practical concern for reservoir engineers.

Because cementation could be ruled out, the team turned to composition. Prior experimental work had shown that even tiny quantities of clay at grain boundaries, on the order of one percent, can soften a sandstone matrix and suppress compressional velocity, while small amounts of contact cement do the opposite and stiffen the frame. To quantify the shale effect in the Kay Field sands, the researchers stratified their well log observations into five shale volume intervals, from 0 to 10 percent up to 41 to 50 percent, and ran multilinear regressions of compressional velocity against porosity and shale volume within each interval. The resulting twenty empirical equations, with correlation coefficients reaching 62 percent in the cleanest sands, provide localized predictive relations linking reservoir composition directly to seismic velocity.

The statistical picture that emerged was decisively asymmetric. At well K5, 59.8 percent of the Sand E samples fall within the higher shale volume range of 21 to 50 percent, while only 40.2 percent occupy the cleaner 0 to 20 percent range. Well K4 shows the mirror image: 77.5 percent of its samples sit in the low shale volume range, with just 22.5 percent in the clay-rich bins. This compositional asymmetry, the authors conclude, is the principal driver of the velocity suppression at K5. Notably, the effect is cumulative across the shale volume bins, and it operates independently of depth. Sand E at K5 is actually buried about 149 meters deeper than at K4, yet its velocities are lower, demonstrating that burial depth exerts a negligible influence compared with clay content in these uncemented sands.

The analysis also revealed instructive limitations in the regression framework. Two equations, derived from small samples of only 38 and 52 observations in narrow porosity and shale volume windows, produced anomalously high coefficients, while others suffered from wide spreads in porosity and shale volume values that mapped to the same velocity, dragging correlation coefficients down to 28 and 33 percent. The authors attribute these spreads partly to minor data spikes from acquisition artifacts. The lesson is methodological as much as geological: the predictive power of rock property relations depends not only on the physics but on the range and density of the observations used to constrain them.

The crucial test came when the team connected these well-scale findings to the seismic domain. Using checkshot data to establish time-depth calibration, they extracted root-mean-square amplitude attributes around both well locations at the Sand E and Sand C reservoir tops. In Sand C, the amplitude distributions at the two wells tracked each other closely, consistent with the absence of a significant velocity contrast. In Sand E, however, the amplitude spectra diverged sharply. Well K4, with its faster, cleaner sand, displayed a predominantly high amplitude spectrum, while the clay-rich interval at K5 produced a subdued response. The mechanism is straightforward: higher P-velocity in Sand E at K4 enhances the acoustic impedance contrast with the encasing shale, generating anomalously bright reflections.

That brightness is precisely the trap. Both wells penetrate the same hydrocarbon-bearing sand, confirming that the amplitude difference is a lithological signature rather than a direct hydrocarbon indicator. The high amplitudes at K4 reflect a geologically cleaner, quartz-dominated framework deposited in a high-energy distributary channel environment with good sorting and limited clay infiltration, whereas the muted response at K5 points to a more heterolithic interval, likely deposited in a lower-energy tidal flat margin or inter-distributary transition zone where shale laminae degrade the impedance contrast. An interpreter relying on bright-spot analysis alone could easily read the K4 anomaly as evidence of a larger hydrocarbon accumulation and overestimate volumes, when in fact the amplitude simply measures the sand’s shale content.

The implications extend well beyond one field. Deltaic clastic reservoirs worldwide are built from stacked channel, mouth bar, and tidal deposits that vary laterally over distances of hundreds of meters, exactly the scale separating wells K4 and K5. The study demonstrates that shale volume variation at such short spatial scales can modulate seismic amplitudes by magnitudes comparable to genuine fluid-driven anomalies, making unconstrained amplitude interpretation inherently risky. The authors argue that shale volume diagnostics, derived from routine gamma ray and porosity logs and stratified through rock physics analysis, should be embedded in amplitude-based reservoir characterization workflows before amplitude anomalies are attributed to pore fluids. In the Coastal Swamp depobelt, as in analogous basins, the difference between a bright spot and a shale-out may be only a few percent of clay, and only rock physics can tell them apart.

Subject of Research: Effects of shale volume on compressional velocity and seismic amplitude in friable sandstone reservoirs of the Niger Delta

Article Title: Rock physics evaluation of shale volume effects on compressional velocity and seismic amplitude in friable sandstone reservoirs, Coastal Swamp, Niger Delta

Article References: Allo, O. J., Ayolabi, E. A., Ameloko, A. A., & Uchegbulam, O. (2026). Rock physics evaluation of shale volume effects on compressional velocity and seismic amplitude in friable sandstone reservoirs, Coastal Swamp, Niger Delta. Discover Geoscience, 4(1), Article 288. https://doi.org/10.1007/s44288-026-00667-3

Image Credits: AI Generated

DOI: 10.1007/s44288-026-00667-3

Keywords: rock physics, Niger Delta, shale volume, compressional velocity, seismic amplitude, friable sandstone, reservoir characterization, Dvorkin-Nur model, porosity, multilinear regression, Coastal Swamp depobelt, bright spots