Abstract:The main focus of the paper is to introduce a new approach at studying and modelling the relationship of initial water saturation profile and capillarity in water-wet hydrocarbon reservoirs, and describe the available measurement methods and possible applications. As a side track it aims to highlight a set of derivable parameters of mercury capillary curves using the Thomeer-method. Since the widely used mercury capillary pressure curves themselves can lead to over-, or underestimations regarding in-place and technical volumes and misinterpreted reservoir behaviour, the need for a proper capillary curve is reasonable. Combining the results of mercury and centrifuge capillary curves could yield a capillary curve preserving the strengths of both methods, while overcoming their weaknesses. Mercury injection capillary curves were normalized by using the irreducible water saturations derived from centrifuge capillary pressure measurements of the same core plug, and this new, combined capillary curve was applied for engineering calculations in order to make comparisons with other approaches. The most significant benefit of this approach is, that all of the measured data needed for a valid drainage capillary pressure curve represents the very same sample piece.
The paper presents a study of a Lower Carboniferous (Visean) clastic sequence commonly called Bobrikovsky Formation, deposited in the Volga-Ural Petroleum Province, Orenburg Region. Our investigation included sedimentological description of core samples from hydrocarbon wells and well log correlations. Facies were identified by well log patterns and calibrated by core sedimentology. The Bobrikovsky Formation is proposed to be interpreted as an overall transgressive-regressive succession in a nearshore-tidal environment. Transgressive lagoon-estuary and barrier island facies became regressional lagoon fill-type settings.
Due to the global oil price crisis in 2014, one of the MOL's preventive/reactive measures was to identify geologically or commercially risky elements within their portfolio. This involved reevaluation of all geologic data from Field A in the Volga-Urals Basin. In re-evaluating Field A, several unexpected challenges, problems and pitfalls were faced by the interdisciplinary team performing the task of building a new database, quality checking, and interpreting data dating back to 1947. To overcome these challenges related to this mature field, new approaches and fit-for-purpose methods were required in order to achieve the overall goal of obtaining a reliable estimation of remaining hydrocarbon potential. In the first phase a first-pass 3D geologic model was constructed, along with wrangling, cleaning and interpreting 70 years of subsurface data. This paper focuses on the main challenges involved in evaluating or reevaluating reservoir aspects of a mature field.The primary challenges were related to the estimation of remaining in-place hydrocarbon volumes, the optimization of infill well placement, the identification of primary and secondary well targets, the identification of critical data gaps, and the planning of new data acquisitions. The hands-on experience gained during the development of the geologic model provided invaluable information for the next steps needed in the redevelopment of the field.
Mature fields have been playing a significant role in the oil and gas realm recently, and redevelopment and optimization efforts are being made globally to prolong the lifetime of these resources. The aim of this study is to showcase the benefits of hydrocarbon reservoir modelling, with a special focus on various aspects of Petrel workflows. This article is a direct continuation of Nemes et al. (2021), which described the Phase 1 geomodel of the same field described in this study. The Phase 2 geomodel – the scope of the current article – is based on a significantly more complete, more detailed, and fundamentally rebuilt dataset compared to Phase 1. The seismic and petrophysical interpretations were updated, and additional data sources were incorporated into the analysis. The geomodel was created in Schlumberger's Petrel software, and during the building of it, a comprehensive 800-plus-step, full-cycle, automated workflow was outlined. The created workflow makes the model update faster by a minimum of five times, makes it more transparent and decreases the risk of human error. The created workflow describes the entire geomodelling process from data loading, via surface adjustments, structural modelling, and property modelling, to a closing of the loop with volumetric calculation. The whole workflow can be rerun easily, and beside the updates made to the geomodel, a full range of quality-check supporting calculations and visualizations were created in order to provide the user with full control. The geomodel showcased here is a key building block of the ongoing and planned development and redevelopment activities in the field, serves as a tool for well and workover planning, water injection system adjustments and a direct input to dynamic simulation, and also provides direct inputs to the documentation of an updated field development plan.
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