CAJ | 학술논문

针对油田开发区块相邻两井之间的小层对比问题，提出了一种以小层测井曲线直接作为过程特征并与粒子群优化相结合的地层对比算法。通过定义可度量曲线特征相似度的距离指标，直接将相邻两口对比井的原始测井曲线作为小层对比特征变量，以此构建带多级罚函数约束的小层对比目标函数。综合利用粒子群算法( PSO)的经验记忆、信息共享和遍历搜索性质优化目标函数参数，实现两井小层之间的最佳匹配。算法可突出测井曲线的过程特征以及多条曲线的整体组合形态，提高对比井段小层之间对应关系的辨识和匹配能力，对于地层对比问题在机制上具有较好的适应性。对油田开发区块相邻两井进行实际资料处理，小层自动对比结果验证了模型和算法的有效性。
침대유전개발구괴상린량정지간적소층대비문제，제출료일충이소층측정곡선직접작위과정특정병여입자군우화상결합적지층대비산법。통과정의가도량곡선특정상사도적거리지표，직접장상린량구대비정적원시측정곡선작위소층대비특정변량，이차구건대다급벌함수약속적소층대비목표함수。종합이용입자군산법( PSO)적경험기억、신식공향화편력수색성질우화목표함수삼수，실현량정소층지간적최가필배。산법가돌출측정곡선적과정특정이급다조곡선적정체조합형태，제고대비정단소층지간대응관계적변식화필배능력，대우지층대비문제재궤제상구유교호적괄응성。대유전개발구괴상린량정진행실제자료처리，소층자동대비결과험증료모형화산법적유효성。
For small layer contrast problem of oilfield development block between two adjacent wells,propose an algorithm with small lay-ers logging curve directly as identification characteristics and combined with particle swarm optimization algorithm in stratigraphic correla-tion. By defining the generalized Hausdorff distance measured curve feature similarity,build small layers compared objective function with multistage penalty function constraint,directly taken the original logging curves of adjacent two contrastive wells as the characteristic vari-ables of detail correlation of reservoir bed. Use the experience memory,information sharing and track traverse searching from PSO for sol-ving global optimization objective function,achieving the optimal matching of small layer between two wells. Algorithm can highlight the well logging curve process characteristics and combination of integral multiple curve form,improve the recognition and matching of corre-sponding relationship between small layers of contrast wells,which has better adaptability for stratigraphic correlation problem in the as-pect of mechanism. Conducting the actual processing for oilfield development block adjacent wells,the results show the effectiveness of the model and algorithm.