The Miqrat Formation is a Cambrian tight-gas (low permeability) reservoir in the Khazzan and Ghazeer fields (Block 61), which together with the Barik Formation comprise the most prolific gas and condensate reservoirs in northern Oman. The reservoir quality of these sandstones is controlled by the depositional environment, ensuing diagenesis, timing of liquid hydrocarbon charge and subsequent replacement by gas and condensate. The development of the Miqrat is challenged by its geological complexity and this study demonstrates an integrated multi scale workflow to reduce risk and uncertainty in developing these reservoirs.
The Miqrat was deposited in alluvial plain and lacustrine sedimentary environments. The environment and provenance formed a mineralogically and texturally variable sediment at deposition, which has been diagenetically modified and degraded during subsequent burial history (maximum burial depth exceeding 5km). Understanding the heterogeneity of these sandstones at a range of scales is crucial in understanding the key risk of reservoir deliverability. To address this, we have accomplished a comprehensive core analysis programme including Nuclear Magnetic Resonance (NMR), and thin section petrology to identify the complex diagenetic and sedimentological controls on reservoir quality and their relationship to bound and moveable fluids. These plug scale measurements are upscaled to log scale where emphasis is placed on reservoir permeability. Log-derived models include porosity- and rock type-based trends. Water saturation models include the verification of potential deep conductive mud-filtrate invasion using resistivity modeling workflows.
Core-derived porosity and permeability plots show scattered, disguised trends demonstrating multiple competing controls on reservoir quality. Integration of post-hydraulic fracture clean up and flow tests provide additional evidence for larger scale reservoir complexity. Wells having similar log-derived gas absolute permeability thickness (KabsH) exhibit a wide range of initial reservoir performance. Core-calibrated, log-derived models are utilized to generate sand-thickness, pore thickness, absolute and gas effective permeability maps, to reveal the extent of the container, its space for fluids, and its lateral deliverability. Petrophysical maps are integrated to the understanding of hydraulic fracture propagation and well test results to further identify potential inter-well heterogeneity.
This paper demonstrates an integrated multi-scale workflow that effectively reduces uncertainty in the prediction of initial gas production to de-risk development in a complex reservoir.