An intelligent automatic correlation method of oil-bearing strata based on pattern constraints: An example of accretionary stratigraphy of Shishen 100 block in Shinan Oilfield of Bohai Bay Basin, East China

Abstract

Aiming at the problem that the data-driven automatic correlation methods which are difficult to adapt to the automatic correlation of oil-bearing strata with large changes in lateral sedimentary facies and strata thickness, an intelligent automatic correlation method of oil-bearing strata based on pattern constraints is formed. We propose to introduce knowledge-driven in automatic correlation of oil-bearing strata, constraining the correlation process by stratigraphic sedimentary patterns and improving the similarity measuring machine and conditional constraint dynamic time warping algorithm to automate the correlation of marker layers and the interfaces of each strata. The application in Shishen 100 block in the Shinan Oilfield of the Bohai Bay Basin shows that the coincidence rate of the marker layers identified by this method is over 95.00%, and the average coincidence rate of identified oil-bearing strata reaches 90.02% compared to artificial correlation results, which is about 17 percentage points higher than that of the existing automatic correlation methods. The accuracy of the automatic correlation of oil-bearing strata has been effectively improved.

Keywords

• oil-bearing strata
• automatic correlation
• contrastive learning
• stratigraphic sedimentary pattern
• marker layer
• similarity measuring machine