<p>In this study, the well performance of an X-Onshore oil field located in the Niger Delta basin using reservoir property distribution was evaluated. In the absence of seismic data, the reservoir property distribution method was adopted for hydrocarbon potential identification and well performance evaluation. This was done using suit of well logs and Petrel software for the petrophysical property distribution and analysis of some selected wells found in the field. Three major reservoirs were delineated and correlated across the three wells. The correlation was done to establish reservoir continuity, identification of potential hydrocarbon bearing zones, as well as to establish a proper geological models for further studies across the wells. The evaluated petrophysical properties are the shale volume, effective porosity, permeability, water and hydrocarbon saturations, as well as the net-to-gross reservoir thickness. The result of the lithological scrutiny shows that the reservoirs are made up of the intercalation of sand and shale lithofacies with the reservoirs primarily located in the sand bodies. The porosity and permeability range that is above 12% and 1000mD respectively shows that the reservoirs are free siliciclastic reservoirs. The analysis of the evaluated petrophysical properties depicts that Well-30 has a better hydrocarbon potential and well performance in the field due to its good petrophysical property disposition. This includes its better porosity, permeability, hydrocarbon saturation, net-to-gross, and very low shale volume and water saturation values. This is followed by well-26 and well-13. The results of this study suggest that during field development planning and hydrocarbon exploration, well-30 is said to be of greater hydrocarbon potential as a result of its better well performance. A further study to integrate seismic data for the volumetric and structural evaluations of the reservoirs is recommended for a better characterization of the oil field.</p>

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Well performance evaluation using reservoir property distribution of X-onshore oil field located in Niger Delta, Nigeria

  • Kingsley Maraizu Ogbuagu,
  • Kingsley Chidozie Igbor

摘要

In this study, the well performance of an X-Onshore oil field located in the Niger Delta basin using reservoir property distribution was evaluated. In the absence of seismic data, the reservoir property distribution method was adopted for hydrocarbon potential identification and well performance evaluation. This was done using suit of well logs and Petrel software for the petrophysical property distribution and analysis of some selected wells found in the field. Three major reservoirs were delineated and correlated across the three wells. The correlation was done to establish reservoir continuity, identification of potential hydrocarbon bearing zones, as well as to establish a proper geological models for further studies across the wells. The evaluated petrophysical properties are the shale volume, effective porosity, permeability, water and hydrocarbon saturations, as well as the net-to-gross reservoir thickness. The result of the lithological scrutiny shows that the reservoirs are made up of the intercalation of sand and shale lithofacies with the reservoirs primarily located in the sand bodies. The porosity and permeability range that is above 12% and 1000mD respectively shows that the reservoirs are free siliciclastic reservoirs. The analysis of the evaluated petrophysical properties depicts that Well-30 has a better hydrocarbon potential and well performance in the field due to its good petrophysical property disposition. This includes its better porosity, permeability, hydrocarbon saturation, net-to-gross, and very low shale volume and water saturation values. This is followed by well-26 and well-13. The results of this study suggest that during field development planning and hydrocarbon exploration, well-30 is said to be of greater hydrocarbon potential as a result of its better well performance. A further study to integrate seismic data for the volumetric and structural evaluations of the reservoirs is recommended for a better characterization of the oil field.