Due to a variety of possible good types and so many complex drilling variables and constraints, optimization of the trajectory of a complex wellbore is very challenging. There are several types of well such as directional wells, horizontal wells, redrilling wells, complex structure wells, cluster wells, and extended reach wells etcetera. Over the past few years, the number of unconventional well including deviated well, highly deviated well is steadily increasing. Directional drilling has some advantages over vertical drilling though it is more expensive. In drilling engineering optimization of wellbore plays an important role, which can be optimized based on the minimization of the length of wellbore, minimization of mud pressure, critical pressure etcetera. Till today so many approaches or methods used to optimize this wellbore trajectory. From those methods here in this study we focused on metaheuristic approaches that used to optimize wellbore trajectory. This reduction of the wellbore length helps to establish cost-effective approaches that can be utilized to resolve a group of complex trajectory optimization challenges. For efficient performance (i.e.; quickly locating global optima while taking the smallest amount of computational time) we have to identify flexible control parameters. Later this parameter can be effectively fixed to tune different algorithms. This research will develop a review of the various algorithm used to optimize deviated wellbore trajectories. In the environment of challenging commodity prices, engineers and commercial firms bound to utilize technology to find out a low-cost solution. Technology is also helpful for the automatic solution of a complex problem, which also allows for the better utilization of resources. This review paper helps to find out optimal wellbore trajectory optimization algorithms that can close the technology gap by giving a useful method. This method can generate a solution automatically. Before establishing a different algorithm, those previous authors considered a number of factors and limitations. Safety is one of them. Before drilling depleted zones should be well studied, otherwise, it may be the reason for so many problems. The heuristic approach builds up solutions through the trial and error method. Those methods take a decent amount of time for solving a complex problem. For a single known problem, different metaheuristic approaches take a different amount of time to find the optimal solution. Among different metaheuristic algorithm which was used to find minimum true measured depth (TMD), we try to make a review where we focused on their computational time, minimization of length, method, etcetera.

由于各种可能的良好类型，以及许多复杂的钻井变量和约束，因此复杂井眼轨迹的优化非常具有挑战性。有几种类型的井，例如定向井，水平井，重钻井，复杂结构井，集束井和延伸井等。在过去的几年中，包括偏斜井，高度偏斜井在内的非常规井的数量稳步增加。定向钻孔相对于垂直钻孔具有一些优势，尽管价格昂贵。在钻井工程中，井眼的优化起着重要作用，可以根据井眼长度的最小化，泥浆压力的最小化，临界压力的最小化等进行优化。直到今天，有许多方法或方法可用于优化该井眼轨迹。从本研究中的这些方法中，我们集中于用于优化井眼轨迹的元启发式方法。井眼长度的减少有助于建立可用于解决一组复杂轨迹优化挑战的经济有效的方法。为了获得有效的性能（即在花费最少的计算时间的同时快速找到全局最优值），我们必须确定灵活的控制参数。之后，可以有效地固定此参数以调整不同的算法。这项研究将对用于优化井眼轨迹的各种算法进行综述。在商品价格充满挑战的环境中，工程师和商业公司必然会利用技术来寻找低成本的解决方案。技术还有助于自动解决复杂的问题，这也可以更好地利用资源。这篇综述文章有助于找出最佳的井眼轨迹优化算法，该算法可以通过提供一种有用的方法来缩小技术差距。此方法可以自动生成解决方案。在建立其他算法之前，那些先前的作者考虑了许多因素和局限性。安全是其中之一。在钻探耗尽区之前，应进行充分研究，否则，这可能是造成许多问题的原因。启发式方法通过试错法建立解决方案。这些方法花费大量时间来解决复杂的问题。对于单个已知问题，不同的元启发式方法需要花费不同的时间来找到最佳解决方案。