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    <subfield code="a">Ingl&#xE9;s</subfield>
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    <subfield code="a">Pressure maintenance and improving oil recovery by means of immiscible water-alternating-CO2 processes in thin heavy-oil reservoirs</subfield>
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    <subfield code="a"></subfield>
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    <subfield code="c">feb. 2013</subfield>
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    <subfield code="a">09/04/2013 ; 09/04/2013</subfield>
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    <subfield code="a">11 p. ; 60-71</subfield>
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  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">Transcripci&#xF3;n del resumen del autor: Techniques have been developed to experimentally and numerically evaluate performance of water-alternating-CO2 processes in thin heavy-oil reservoirs for pressure maintenance and improving oil recovery. Experimentally, a 3D physical model consisting of three horizontal wells and five vertical wells is used to evaluate the performance of water-alternating-CO2 processes. Two well configurations have been designed to examine their effects on heavy-oil recovery. The corresponding initial oil saturation, oil production rate, water cut, oil recovery, and residual-oil-saturation (ROS) distribution are examined under various operating conditions. Subsequently, numerical simulation is performed to match the experimental measurements and optimize the operating parameters (e.g., slug size and water/CO2 ratio). The incremental oil recoveries of 12.4 and 8.9% through three water-alternating-CO2 cycles are experimentally achieved for the aforementioned two well configurations, respectively. The excellent agreement between the measured and simulated cumulative oil production indicates that the displacement mechanisms governing water alternating-CO2 processes have been numerically simulated and matched. It has been shown that water-alternating-CO2 processes implemented with horizontal wells can be optimized to significantly improve performance of pressure maintenance and oil recovery in thin heavy-oil reservoirs. Although well configuration imposes a dominant impact on oil recovery, the water-alternating gas (WAG) ratios of 0.75 and 1.00 are found to be the optimum values for Scenarios 1 and 2, respectively.</subfield>
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    <subfield code="t">SPE Reservoir Evaluation and Engineering</subfield>
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    <subfield code="c">ARTICULO</subfield>
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    <subfield code="a">Zheng, Sixu</subfield>
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    <subfield code="a">Yang, Daoyong</subfield>
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    <subfield code="a">BAAB</subfield>
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    <subfield code="d">2026-03-06</subfield>
    <subfield code="j">200059718</subfield>
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    <subfield code="p">200059718</subfield>
    <subfield code="r">2026-03-06 00:17:31</subfield>
    <subfield code="w">2026-03-06</subfield>
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