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improved consistency in geological risk assessment for the detection of recoverable hydrocarbon accumulations through continuous machine learning

机译:通过连续的机器学习提高了地质风险评估的一致性,以检测可采出的烃类堆积

摘要

the geological risk assessment includes receiving a first set of geological factors associated with a first site. data belonging to at least a second location with a second set of geological factors, similar to the first set of geological factors at the first location, is retrieved. a comparison of the first set of geological factors with the second set of geological factors is received, and a level of knowledge of the first location is determined based on the comparison. a suggested probability of success for the first location is determined based on the level of knowledge. a probability of success is determined for each of the geological factors in the second set of geological factors. a probability of success for the first location is determined. the probability of success for the first location is assessed based on the level of knowledge of the first location, the suggested probability of success for the first location, and the probability of success for each of the second set of geological factors, thereby providing a determination of probability of the existence of a certain amount of accumulated recoverable hydrocarbons in the first referred site.
机译:地质风险评估包括接收与第一地点相关的第一组地质因素。检索至少属于第二位置的数据,该数据具有与第一位置处的第一组地质因子相似的第二组地质因子。接收第一组地质因素与第二组地质因素的比较,并基于该比较确定第一位置的知识水平。根据知识水平确定第一个位置的建议成功概率。确定第二组地质因素中每个地质因素的成功概率。确定第一位置的成功概率。根据第一位置的知识水平,第一位置的建议成功概率以及第二组地质因素的成功概率,评估第一位置的成功概率,从而提供确定依据第一参考站点中存在一定数量的累积可采烃的概率

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