反复试验的技术:改善近井完井

Drill2Frac 的 FlowFX 解决方案通过对性能簇数量和阶段长度等参数进行建模,帮助微调完井设计。

对近井筒条件的深入了解是成功完井的关键组成部分。

操作员可以通过反复试验来测试完井有效性,但如果不了解近井筒条件,该方法成本高昂且耗时。 

Drill2Frac 表示,使用预先存在的数据获取井眼条件并模拟不同的完井设计是一种更好的非侵入性选择。

该公司花费数年时间开发了 FlowFX 近井筒流体分配解决方案。

Drill2Frac 的首席技术官 Kevin Wutherich 以完井工程师的身份开始了他的职业生涯,他了解正确流程的重要性。

“我很早就意识到,近井筒是一切发生的地方,”他说。“如果您能够正确了解近井筒中发生的情况,那么您就可以对其余工作产生良好的影响。您无法控制流体离开井眼后发生的情况,但您可以改变附近井眼中发生的情况。”

他指出,近井眼的岩石特性可能会逐渐变化,这意味着簇可以放置在不同类型的岩石中。

他说,为了适应近井眼,了解初始条件很重要。

“如果您能够正确了解近井筒中发生的情况,那么您就能对其余工作产生良好的影响。” — Kevin Wutherich,Drill2Frac

Kevin Wutherich,Drill2Frac 首席技术官
Kevin Wutherich,Drill2Frac 的首席技术官。(来源:Drill2Frac)

“已经建立了一些模型来了解裂缝效率,但它们未能有效地考虑近井筒岩石特性,”乌瑟里奇说。

Drill2Frac 总裁 Dharmesh Mehta 表示,2016 年至 2019 年间,该公司致力于改进利用钻井数据和操作员获得的其他信息(例如通过井下摄像机或光纤)来表征近井眼岩石特性的流程。 

他说,整个重点是使用客户已有的数据,而不是要求收集新数据。

但仅有数据还不够。“这留下了最后的前沿,了解侵蚀和压力阴影模型等事物,”梅塔说。

下一步是将这些模型与客户数据集成。

他说,凭借到位的流体分配数字解决方案以及使用数据和流程检测消耗的能力,Drill2Frac 的数据和分析可帮助运营商通过对性能簇数量和阶段长度等参数进行建模来微调完井设计。

其结果是一个基于云的解决方案,旨在非侵入性地帮助运营商获得更稳定、更高效的油井。

玩假设游戏

Mehta 表示,FlowFX 使完井工程师能够可视化压裂计划并快速模拟不同设计的效果。 

在完美的压裂中,将 1,000 磅的支撑剂泵入一个阶段的八个簇中将均匀分配。——现实情况并非如此。你永远不会得到平等的分配。” 

正如 Mehta 所说,FlowFX 提供了支撑剂如何进入每个阶段的每个簇的可视化效果。

他说,从那里开始,可以进行假设分析并调整完成的元素。所有物理和建模都发生在幕后。

FlowFX 近井筒流体分布模型比较
FlowFX 近井筒流体分布模型比较
FlowFX 模拟不同完井设计中流体如何在射孔簇之间分配。(来源:Drill2Frac)

客户可以在完成设计上“转动旋钮”。他们可以调整级数、级长、每级簇数、每簇射数、射孔直径、射孔方向、泵速和支撑剂用量等变量,以试验可能影响完井效率的因素。

梅塔说,建模可以让客户了解近井眼条件的影响。

“它使这个过程变得更简单、更容易,并利用你已有的数据,”他说。

“我们的全部重点是使用客户已有的数据。”“Harmesh Mehta,Drill2Frac

乌瑟里奇表示,对不同的场景进行建模可以向工作人员展示他们在压裂过程中进行任何修改后的预期结果,这比反复试验更具有成本效益。 

“这是”一个模型。它不会是完美的,但它基于固体物理和数据。”因此,它可以预测完井设计的变化将如何影响沿井眼的流体分布,他说。 

他说,FlowFX 可以将这些设计列入最有可能成功的五个设计候选名单,而不是对 50 个完成设计进行操作试验。 

乌瑟里奇表示,该模型无法考虑所有变量。例如,劣质水泥会带来困难,因为水泥不能完全控制流体的流向。

Wutherich 表示,其客户之一 Gordy Oil 基于 FlowFX 为特拉华盆地的油井做出了完井设计决策。他说,对不同设计进行建模的能力导致了优化设计,从而显着改善了完成情况并增加了产量。

Drill2Frac 在 2021 年非常规资源技术会议 (URTeC 2021) 期间宣布推出 FlowFX,并一直在内部为客户使用。FlowFX 2023 更新将于 2023 年第一季度推出,其中纳入了客户的反馈。

最大的变化:建模解决方案将基于云,允许 Drill2Frac 客户直接使用数字解决方案并运行自己的模拟。

原文链接/hartenergy

Tech Over Trial-and-Error: Improving Near-Well Bore Completions

Drill2Frac’s FlowFX solution helps fine-tune completion designs by modeling parameters such as the number of perf clusters and length of stages.

A solid understanding of near-wellbore conditions is a key component for successful completions.

Operators could use trial and error to test completions effectiveness, but without understanding near-wellbore conditions, the approach is costly and time-consuming. 

Obtaining wellbore conditions using pre-existing data and simulating different completion designs is a better, non-invasive option, according to Drill2Frac.

The company developed its FlowFX near-wellbore fluid distribution solution over a period of years.

Kevin Wutherich, Drill2Frac’s CTO, started his career as a completions engineer and understands the importance of getting flows right.

“I realized early on that the near wellbore is where everything happens,” he said. “If you can get what happens in the near wellbore right, then you can have a good effect on the rest of the job. You can’t control what happens after the fluid leaves the wellbore, but you can change what’s happening in the near wellbore.”

Rock properties in the near wellbore can change foot-by-foot, he noted, meaning clusters can be placed in different types of rocks.

To adapt to the near wellbore, it is important to understand what the initial conditions are, he said.

“If you can get what happens in the near wellbore right, then you can have a good effect on the rest of the job.” — Kevin Wutherich, Drill2Frac

Kevin Wutherich, Drill2Frac's CTO
Kevin Wutherich, Drill2Frac's CTO. (Source: Drill2Frac)

“There have been models built to understand fracture efficiency, but they haven’t been able to effectively take into account near-wellbore rock properties,” Wutherich said.

Between 2016 and 2019, Drill2Frac president Dharmesh Mehta said the company focused on improving its process for characterizing rock properties in the near wellbore leveraging drilling data and other information operators had been obtained, such as via downhole cameras or fiber optics. 

The entire focus is to use data the customer already has instead of requiring the collection of new data, he said.

But data alone is not enough. “That left the last frontier, understanding things like erosion and stress-shadow models,”  Mehta said.

Integrating those models with customer data was the next step.

With digital solutions for fluid distribution in place and the ability to detect depletion using data and processes, Drill2Frac’s data and analytics help operators fine-tune completion designs by modeling parameters such as the number of perf clusters and length of stages, he said.

The result is a cloud-based solution designed to be non-invasive with the goal of helping operators achieve more consistent and productive wells.

Playing what-if

FlowFX allows completion engineers to visualize frac plans and quickly simulate the effects of different designs, Mehta said. 

In a perfect frac, pumping 1,000 lb of proppant into eight clusters in a stage would distribute equally. “The reality is that is not the case. You never get equal distribution.” 

As Mehta puts it, FlowFX provides a visualization of how the proppant is going into each cluster for each stage.

From there, it is possible to play what-if and tweak elements of the completion, he said. All the physics and modeling happens behind the scenes.

FlowFX Near-Wellbore Fluid Distribution Model Comparison
FlowFX Near-Wellbore Fluid Distribution Model Comparison
FlowFX models how fluid will be distributed among perforation clusters for differing completion designs. (Source: Drill2Frac)

Customers can “turn the knobs” on the completion design. They can adjust variables such as number of stages, stage length, clusters per stage, shots per cluster, perf diameter, orientation of perfs, pump rates and the volume of proppants to experiment on what might affect a completion’s effectiveness.

Mehta said modeling allows customers to understand the effects of the near-wellbore conditions.

“[It makes] that process simpler, easier and leverag[es] the data you already have,” he said.

“Our entire focus is to use data the customer already has.” —Dharmesh Mehta, Drill2Frac

Wutherich said modeling different scenarios can show crews what they can expect during fracturing with any modification — easily more cost-effective than trial and error. 

“It’s a model. It’s not going to be perfect, but it’s based on solid physics and data.” So, it makes it possible to predict how changes in completion designs will affect fluid distribution along the wellbore, he said. 

Instead of running operational trials on 50 completion designs, FlowFX can shortlist those designs to the five most likely to succeed, he said. 

The model cannot take every variable into account, according to Wutherich. Poor cement, for example, presents difficulties because the cement is not fully controlling where the fluid will go.

Wutherich said Gordy Oil, one of its customers, made completion design decisions based on FlowFX for wells in the Delaware Basin. The ability to model different designs led to an optimized design that resulted in a significantly improved completion and production increase, he said.

Drill2Frac announced the availability of FlowFX during the 2021 Unconventional Resources Technology Conference (URTeC 2021) and has been using it internally for customers. The FlowFX 2023 update, which will be launched in first-quarter 2023, incorporates feedback from customers.

The biggest change: the modeling solution will be cloud-based, allowing Drill2Frac customers to work directly with the digital solution and run their own simulations.