Our method involves interpolation techniques that assume that rock properties do not vary significantly laterally. We make several additional assumptions related to the interpolation of missing log data:

- Gamma logs are matched to estimate the alignment shifts; therefore, estimated section is limited to section in each well with available gamma log.
- All gamma logs are aligned with a single reference gamma log, estimated log section is limited to the stratigraphy found in this reference log. This reference well log can be thought of as a type log which contains the entire stratigraphic column observed in other well logs.
- We did not perform fluid substitution prior to solving Equation 8 for each well. The proposed approach is based on interpolation, and we assume fluid substitution to have negligible impact on the results. This assumption may present challenges in reservoirs where hydrocarbons impact the well log response within the same stratigraphic interval.

Additionally, well log data interpolation by predictive painting may result in errors when crossing faults. We observe this challenge when comparing the fault in Figure 17a to the log property volumes in Figure 18. The fault in the property volumes is not accounted for during interpolation. Interpolation schemes that account for discontinuities would further improve results. Recently suggested approaches by Xue et al. (2017) and Shi et al. (2017b) address predictive painting across faults.

Our methodology can also be directly impacted by errors in the seismic data. An incorrect migration velocity will improperly place reflectors which will result in an incorrect TDR estimated from seismic well ties. Inaccuracies in the migration velocity may be a reason for the need for a velocity log update shown in Figure 15a.

The assumptions we make and errors in migration can compound resulting in inaccuracies in our integrated study. However, by relating several sources of information (multiple well logs and 3D seismic) we provide an approach and validation technique to minimize the impact of these challenges and to provide a better characterization of the subsurface.

2019-05-07