In the field of drill-bit R&D, behind the competition lies, at its core, a contest of research and development capabilities.
Whoever can more quickly and accurately discern the fluid flow patterns at the drill bit’s crown, and who can more precisely pinpoint the load and erosion conditions in the PDC cutting structure, will be better positioned to deliver products that are more stable, more precise, and more tailored to complex operating conditions.
In the past, these issues were largely concealed at the bottom of the well or trapped within the drill‑bit structure, making them difficult to observe directly. Development relied heavily on experience, single‑point testing, and repeated trial-and‑error. Today, Shaanxi Xingtong has introduced its own proprietary technologies for erosion analysis and fluid‑dynamics simulation, aiming to transform these “invisible” problems into an engineering language that is computable, simulatable, verifiable, and iteratively refined.
What we’ve launched is not just a single analytical result, but rather a self-developed, closed-loop technological ecosystem centered on drill-bit design.
Shaanxi Xingtong does not merely “produce a few diagrams”; instead, it has established a comprehensive R&D pipeline centered on drill‑bit design: first, it characterizes the internal flow field; then, it identifies PDC cutting‑element hotspots; next, it compares operating conditions to assess local evolution; and finally, it feeds these analytical insights back into structural redesign, flow‑channel optimization, and product upgrades.
This means that R&D efforts are no longer confined to “detecting anomalies,” but are advancing toward “interpreting anomalies, forecasting trends, and guiding design.”
First, clearly examine the drill bit’s crown; only then can optimization truly take hold.
For drill bits, what truly shapes subsequent design decisions is often not a single conclusion, but rather a cloud map that clearly reveals the hotspots on the bit’s crown. By analyzing the top-down cloud map of the crown, Shaanxi Xingtong can visually highlight flow‑induced erosion in different regions, high‑value distribution patterns, and localized load‑bearing locations, enabling the R&D team to quickly identify which areas are critical and where priority optimization is needed.
Figure 1: Overview cloud map of the drill bit crown—clearly showing the distribution of flow-induced erosion across different regions.
Figure 2: Cloud map of the drill bit crown—clearly showing the localized contact‑active zone and the load‑bearing locations.
Figure 3: Cloud‑map comparison of PDC’s key areas: simultaneous identification of localized erosion and contact hotspots.
Only by accurately identifying the PDC hotspots can you ensure robust durability and performance.
What truly determines a drill bit’s service life is often not an overall average, but rather localized hotspots. In typical applications, Shaanxi Xingtong analyzes the high‑erosion zones, high‑contact‑pressure areas, and regions of localized load variation within the PDC cutting structure—not merely to determine whether a problem has occurred, but to ascertain whether the issue has already become confined to critical areas.
Only by keeping a close eye on the PDC’s sensitive areas can the R&D team determine which aspects to prioritize in the next design iteration and in which direction to converge.
Figure 4: PDC phased cloud map—showing the evolution of hotspots in the early, middle, and late stages more clearly.
Figure 5: PDC Stability Baseline Comparison—Provides a Unified Reference for Subsequent Structural Optimization
Enable simulation to move beyond reports and become an integral part of the drill-bit R&D process.
Whether a technology is valuable hinges not on whether it can be demonstrated, but on whether it can feed back into the design process. The technology unveiled by Shaanxi Xingtong centers on turning every simulation-based assessment into a foundation for the next R&D iteration—moving from crown‑area cloud maps to PDC hotspots, and from localized identification to structural optimization—thereby establishing a truly closed-loop system.
This means that simulation is no longer merely a tool for “viewing results,” but rather a tool for “making decisions”; it is no longer just an add‑on to R&D reports, but a critical step in the drill‑bit upgrade process.
Shifting from experience-driven to data-driven, Shaanxi Xingtong is building new capabilities in drill-bit R&D.
Taking the drill bit/PDC scenario as its entry point, Shaanxi Xingtong has already demonstrated robust system‑level analytical capabilities in crown‑flow dynamics, erosion identification, hot‑spot localization, and localized evolution. Looking ahead, Shaanxi Xingtong will continue to advance its in‑house development of drill‑bit erosion analysis and fluid‑mechanics simulation technologies, enabling drill‑bit designs under increasingly complex operating conditions to be computable, predictable, verifiable, and optimizable—ensuring that each product iteration is both faster and more precise.
Only by clearly understanding the downhole conditions can we design a robust drill bit.
Turn complex problems into data-driven insights, and transform R&D intuition into engineered solutions.
This, then, is the significance of Shaanxi Xingtong’s independently developed drill-bit simulation technology.