Oilfield reservoir index curve construction method, system and equipment and storage medium

Abstract

The invention discloses an oilfield reservoir index curve construction method, system and equipment and a storage medium. The method comprises the steps that 1, a shale indication curve is constructed through a shallow lateral curve and a neutron logging curve, and a shale content curve is constructed through the shale indication curve and the shale content of a rock core; 2, the total porosity is acquired, and then a porosity curve is constructed; 3, a deep lateral curve, the shallow lateral curve, the mud resistivity and the crack index are acquired, and then a crack porosity indication curve is constructed; 4, the oil content level of logging rock debris is assigned from small to large according to the level from low to high, and then a rock debris logging indication curve is generated; 5, a whole hydrocarbon curve of gas logging is acquired and normalized to obtain a whole hydrocarbon indication curve; and 6, the curves are synthesized, the parameter of each curve is 1-2, and a reservoir index curve is constructed. The oil-gas layer can be obviously indicated, the accuracy of logging interpretation evaluation is improved, and the logging reservoir evaluation and exploration requirements are met.

Description

technical field [0001] The invention belongs to the field of petroleum exploration, and relates to a method, system, equipment and storage medium for constructing an index curve of an oilfield reservoir. Background technique [0002] In an existing oil field in my country, due to the particularity of sedimentation, the lithology is mainly composed of granitic conglomerate and mixed conglomerate, and the reservoir space is mainly of fracture-pore type. In the previous exploration, because it was not used as the exploration target layer, the logging series was relatively simple, and the conventional logging was basically the main one. Since the sedimentary parent rocks are mainly from Archean metamorphic rocks, the response characteristics of conventional logging data to reservoirs and non-reservoirs are very weak, and it has been difficult to establish logging interpretation charts and standards, resulting in a relatively low coincidence rate of logging interpretation, only ...

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Problems solved by technology

However, the indication of oil and gas layers by a single data is relatively weak, and it is difficult to accurately evaluate the reservoir, which affects the accuracy of logging interpretation evaluation, and the coincidence rate of one-time interpretation is only 72.4%

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