A Workflow from Seismic to Forecast for Tight-Oil Reservoir Development Using a Semianalytical Well-Testing Model with Boundary Element Method

摘要

Treatments of stimulated reservoir volume (SRV) have been the most effective techniques to enhance well productivity in unconventional plays, like tight-oil reservoirs. Unlike conventional reservoirs, the work in unconventional plays needs to focus on the SRV scale rather than field scale, which requires an integration of many techniques to properly evaluate the SRV properties. Unfortunately, there still lacks of a comprehensive integration of seismic, models, and data for SRV, although much work has been done for fracturing estimations and performance predictions of wells with SRV. To narrow the gap, this paper presents a comprehensive seismic-forecast workflow for tight-oil reservoir development on the SRV scale. The workflow is an integration of microseismic data, well testing interpretation, rate normalized pressure (RNP) interpretation, and numerical production history match. Its contents are described as the following steps: (1) introducing the technique of microseismic monitoring (MSM) and proposing a corresponding simplified SRV model, (2) developing and verifying its well-testing model with boundary element method (BEM), integral method, and superposition principle, (3) discussing the rate normalized pressure (RNP) model of SRV, (4) building a numerical SRV model, and (5) demonstrating the workflow by a field case from Junggar Basin. This paper paves a good way to evaluate well performance and improve future completions in tight-oil reservoirs.